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David R. Kaeli

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affiliation: Northeastern University, Boston, USA

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2020 – today

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2024
[j67]
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Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim:
Scalability Limitations of Processing-in-Memory using Real System Evaluations. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 5:1-5:28 (2024)
[c198]
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Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) 2024: 683-698
[c197]
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Malith Jayaweera, Martin Kong, Yanzhi Wang, David R. Kaeli:
Energy-Aware Tile Size Selection for Affine Programs on GPUs. CGO 2024: 13-27
[c196]
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Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CGO 2024: 143-157
[c195]
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Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang:
Digital Avatars: Framework Development and Their Evaluation. IJCAI 2024: 8780-8783
[c194]
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Malith Jayaweera, Yanyu Li, Yanzhi Wang, Bin Ren, David R. Kaeli:
DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware. IPDPS 2024: 644-655
[c193]
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Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli:
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. ISCA 2024: 946-960
[c192]
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Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar, José L. Abellán, Ajay Joshi, David R. Kaeli, John Kim:
Scalability Limitations of Processing-in-Memory using Real System Evaluations. SIGMETRICS/Performance (Abstracts) 2024: 63-64
[d2]
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Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 1. Zenodo, 2024 [all versions]
[d1]
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Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". Version 2. Zenodo, 2024 [all versions]
[i26]
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  - journals/corr/abs-2402-19184
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Jude Haris, Nicolas Bohm Agostini, Antonino Tumeo, David R. Kaeli, José Cano:
Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR. CoRR abs/2402.19184 (2024)
[i25]
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  - journals/corr/abs-2404-15510
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Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, José L. Abellán, Ajay Joshi, John Kim, David R. Kaeli:
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator. CoRR abs/2404.15510 (2024)
[i24]
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  - journals/corr/abs-2408-04068
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Timothy Rupprecht, Sung-En Chang, Yushu Wu, Lei Lu, Enfu Nan, Chih-hsiang Li, Caiyue Lai, Zhimin Li, Zhijun Hu, Yumei He, David R. Kaeli, Yanzhi Wang:
Digital Avatars: Framework Development and Their Evaluation. CoRR abs/2408.04068 (2024)
2023
[j66]
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  - journals/jpdc/HarisGCAK23
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Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference. J. Parallel Distributed Comput. 173: 140-151 (2023)
[j65]
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  - journals/micro/LivesayJMSAJAKK23
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Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Finite Field Arithmetic for Homomorphic Encryption on GPUs. IEEE Micro 43(5): 55-63 (2023)
[c191]
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  - conf/chi/MohaddesiCGEGKM23
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Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. CHI 2023: 729:1-729:21
[c190]
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Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. MICRO 2023: 670-684
[i23]
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  - journals/corr/abs-2301-13101
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Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Thought Bubbles: A Proxy into Players' Mental Model Development. CoRR abs/2301.13101 (2023)
[i22]
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  - journals/corr/abs-2309-11001
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Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. CoRR abs/2309.11001 (2023)
[i21]
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  - journals/corr/abs-2310-17746
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Evan Ning, David R. Kaeli:
Memory Efficient Multithreaded Incremental Segmented Sieve Algorithm. CoRR abs/2310.17746 (2023)
[i20]
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  - journals/corr/abs-2312-08656
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Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding:
MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training. CoRR abs/2312.08656 (2023)
[i19]
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  - journals/corr/abs-2312-14821
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Nicolas Bohm Agostini, Jude Haris, Perry Gibson, Malith Jayaweera, Norm Rubin, Antonino Tumeo, José L. Abellán, José Cano, David R. Kaeli:
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. CoRR abs/2312.14821 (2023)
2022
[j64]
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  - journals/tdsc/PrevilonKTK22
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Fritz Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli:
Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications. IEEE Trans. Dependable Secur. Comput. 19(1): 288-300 (2022)
[j63]
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  - journals/tpds/KarimiADK22
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Elmira Karimi, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli:
VCSR: An Efficient GPU Memory-Aware Sparse Format. IEEE Trans. Parallel Distributed Syst. 33(10): 3977-3989 (2022)
[c189]
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Yuhui Bao, Yifan Sun, Zlatan Feric, Michael Tian Shen, Micah Weston, José L. Abellán, Trinayan Baruah, John Kim, Ajay Joshi, David R. Kaeli:
NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs. PACT 2022: 333-345
[c188]
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  - conf/cf/AgostiniCKT22
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Nicolas Bohm Agostini, Serena Curzel, David R. Kaeli, Antonino Tumeo:
SODA-OPT an MLIR based flow for co-design and high-level synthesis. CF 2022: 201-202
[c187]
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  - conf/chi/MohaddesiGEKMH22
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Omid Mohaddesi, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Stacy Marsella, Casper Harteveld:
To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages. CHI 2022: 363:1-363:18
[c186]
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  - conf/iccad/AgostiniCA0MCMK22
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Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo:
An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD 2022: 6:1-6:9
[c185]
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  - conf/seed/ShivdikarJMLAJA22
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Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. SEED 2022: 61-72
[i18]
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  - journals/corr/abs-2201-02694
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Omid Mohaddesi, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Stacy Marsella, Casper Harteveld:
To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages. CoRR abs/2201.02694 (2022)
[i17]
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  - journals/corr/abs-2209-01290
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Kaustubh Shivdikar, Gilbert Jonatan, Evelio Mora, Neal Livesay, Rashmi Agrawal, Ajay Joshi, José L. Abellán, John Kim, David R. Kaeli:
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs. CoRR abs/2209.01290 (2022)
2021
[j62]
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  - journals/cgf/SunZMSDK21
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Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. Comput. Graph. Forum 40(3): 239-250 (2021)
[j61]
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  - journals/tpds/DongSAKLZCAK21
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Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli:
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32(10): 2448-2463 (2021)
[c184]
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  - conf/bigdataconf/FericABSHWMKMAK21
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Zlatan Feric, Nicolas Bohm Agostini, Daniel Beene, Antonio J. Signes-Pastor, Yuliya Halchenko, Deborah Watkins, Debra MacKenzie, Margaret Karagas, Justin Manjourides, Akram Alshawabkeh, David R. Kaeli:
A Secure and Reusable Software Architecture for Supporting Online Data Harmonization. IEEE BigData 2021: 2801-2812
[c183]
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  - conf/dsn/SabbaghFK21
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Majid Sabbagh, Yunsi Fei, David R. Kaeli:
Overdrive Fault Attacks on GPUs. DSN (Supplements) 2021: 68-69
[c182]
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  - conf/hpca/AhnJKRFKK21
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Jaeguk Ahn, Cheolgyu Jin, Jiho Kim, Minsoo Rhu, Yunsi Fei, David R. Kaeli, John Kim:
Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery. HPCA 2021: 332-344
[c181]
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Majid Sabbagh, Yunsi Fei, David R. Kaeli:
GPU Overdrive Fault Attacks on Neural Networks. ICCAD 2021: 1-8
[c180]
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  - conf/iccv/00010ZYNWZJKRLW21
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Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 2021: 4801-4811
[c179]
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  - conf/ispass/BaruahSDSMJAUJK21
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Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, José L. Abellán, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli:
GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS 2021: 13-23
[c178]
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  - conf/nas/KachmarK21
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Maher Kachmar, David R. Kaeli:
CALC: A Content-Aware Learning Cache for Storage Systems. NAS 2021: 1-8
[c177]
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  - conf/sbac-pad/HarisGCAK21
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Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. SBAC-PAD 2021: 33-43
[c176]
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  - conf/seed/JayaweeraSWK21
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Malith Jayaweera, Kaustubh Shivdikar, Yanzhi Wang, David R. Kaeli:
JAXED: Reverse Engineering DNN Architectures Leveraging JIT GEMM Libraries. SEED 2021: 189-202
[c175]
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  - conf/wosp/0002AK21
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Julian Gutierrez, Nicolas Bohm Agostini, David R. Kaeli:
Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices. ICPE (Companion) 2021: 139-144
[i16]
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  - journals/corr/abs-2104-00828
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Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. CoRR abs/2104.00828 (2021)
[i15]
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  - journals/corr/abs-2108-08910
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Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR abs/2108.08910 (2021)
[i14]
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  - journals/corr/abs-2110-00478
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Jude Haris, Perry Gibson, José Cano, Nicolas Bohm Agostini, David R. Kaeli:
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. CoRR abs/2110.00478 (2021)
2020
[j60]
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  - journals/pc/DongZLK20
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Shi Dong, Pu Zhao, Xue Lin, David R. Kaeli:
Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. Parallel Comput. 100: 102701 (2020)
[j59]
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Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
Exploiting Bank Conflict-based Side-channel Timing Leakage of GPUs. ACM Trans. Archit. Code Optim. 16(4): 42:1-42:24 (2020)
[j58]
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Charu Kalra, Fritz Previlon, Norm Rubin, David R. Kaeli:
ArmorAll: Compiler-based Resilience Targeting GPU Applications. ACM Trans. Archit. Code Optim. 17(2): 9:1-9:24 (2020)
[j57]
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David R. Kaeli:
Editorial: A Message from the Editor-in-Chief. ACM Trans. Archit. Code Optim. 17(3): 16:1-16:2 (2020)
[j56]
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Mohammad Khavari Tavana, Yunsi Fei, David R. Kaeli:
Nacre^**Nacre, or mother-of-pearl, is one of nature's remarkable examples of a durable and break-resistant structure.: Durable, Secure and Energy-Efficient Non-Volatile Memory Utilizing Data Versioning. IEEE Trans. Emerg. Top. Comput. 8(4): 897-906 (2020)
[c174]
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Trinayan Baruah, Yifan Sun, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance. PACT 2020: 455-466
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Omid Mohaddesi, Yifan Sun, Rana Azghandi, Rozhin Doroudi, Sam Snodgrass, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. CHI 2020: 1-13
[c172]
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Majid Sabbagh, Yunsi Fei, David R. Kaeli:
A Novel GPU Overdrive Fault Attack. DAC 2020: 1-6
[c171]
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Julian Gutierrez, Shi Dong, David R. Kaeli:
Vega: A Computer Vision Processing Enhancement Framework with Graph-based Acceleration. HICSS 2020: 1-10
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Elmira Karimi, Yunsi Fei, David R. Kaeli:
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. HOST 2020: 122-131
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Trinayan Baruah, Yifan Sun, Ali Tolga Dinçer, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. HPCA 2020: 596-609
[c168]
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Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli:
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth. ICMLA 2020: 759-764
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Devesh Tiwari, David R. Kaeli:
Message from the Program Chairs : IISWC 2020. IISWC 2020: x-xi
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Maher Kachmar, David R. Kaeli:
A Smart Background Scheduler for Storage Systems. MASCOTS 2020: 1-8
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Nicolas Bohm Agostini, Shi Dong, Elmira Karimi, Marti Torrents Lapuerta, José Cano, José L. Abellán, David R. Kaeli:
Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. SBAC-PAD 2020: 10-19
[i13]
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Maher Kachmar, David R. Kaeli:
A Smart Background Scheduler for Storage Systems. CoRR abs/2006.01402 (2020)
[i12]
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Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems. CoRR abs/2007.04292 (2020)
[i11]
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Elmira Karimi, Yunsi Fei, David R. Kaeli:
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU. CoRR abs/2007.16175 (2020)
[i10]
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Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
MGPU-TSM: A Multi-GPU System with Truly Shared Memory. CoRR abs/2008.02300 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[j55]
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Chen Li, Jun Yang, Yifan Sun, Lingling Jin, Lingjie Xu, Zheng Cao, Pengfei Fan, David R. Kaeli, Sheng Ma, Yang Guo:
Priority-Based PCIe Scheduling for Multi-Tenant Multi-GPU Systems. IEEE Comput. Archit. Lett. 18(2): 157-160 (2019)
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Christopher C. Bunn, Harrison Barclay, A. Lazarev, F. Yusuf, J. Fitch, J. Booth, Kaustubh Shivdikar, David R. Kaeli:
Student cluster competition 2018, team northeastern university: Reproducing performance of a multi-physics simulations of the Tsunamigenic 2004 Sumatra Megathrust earthquake on the AMD EPYC 7551 architecture. Parallel Comput. 90 (2019)
[j53]
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Xun Gong, Xiang Gong, Leiming Yu, David R. Kaeli:
HAWS: Accelerating GPU Wavefront Execution through Selective Out-of-order Execution. ACM Trans. Archit. Code Optim. 16(2): 15:1-15:22 (2019)
[j52]
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Chao Luo, Yunsi Fei, David R. Kaeli:
Side-channel Timing Attack of RSA on a GPU. ACM Trans. Archit. Code Optim. 16(3): 32:1-32:18 (2019)
[j51]
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Lu Wang, Xia Zhao, David R. Kaeli, Zhiying Wang, Lieven Eeckhout:
Intra-Cluster Coalescing and Distributed-Block Scheduling to Reduce GPU NoC Pressure. IEEE Trans. Computers 68(7): 1064-1076 (2019)
[j50]
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Fernando Fernandes dos Santos, Pedro Foletto Pimenta, Caio B. Lunardi, Lucas Draghetti, Luigi Carro, David R. Kaeli, Paolo Rech:
Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs. IEEE Trans. Reliab. 68(2): 663-677 (2019)
[c164]
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Fritz G. Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli:
PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment. DATE 2019: 308-311
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Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech:
A Comprehensive Evaluation of the Effects of Input Data on the Resilience of GPU Applications. DFT 2019: 1-6
[c162]
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Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli:
Discovering Programmer Intention Behind Written Source Code. ICMLA 2019: 432-437
[c161]
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Mohammad Khavari Tavana, Yifan Sun, Nicolas Bohm Agostini, David R. Kaeli:
Exploiting Adaptive Data Compression to Improve Performance and Energy-Efficiency of Compute Workloads in Multi-GPU Systems. IPDPS 2019: 664-674
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Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA 2019: 197-209
[i9]
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  - journals/corr/abs-1909-03441
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Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. CoRR abs/1909.03441 (2019)
[i8]
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  - journals/corr/abs-1911-11313
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Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli:
Summarizing CPU and GPU Design Trends with Product Data. CoRR abs/1911.11313 (2019)
2018
[j49]
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Chao Luo, Yunsi Fei, Liwei Zhang, A. Adam Ding, Pei Luo, Saoni Mukherjee, David R. Kaeli:
Power Analysis Attack of an AES GPU Implementation. J. Hardw. Syst. Secur. 2(1): 69-82 (2018)
[j48]
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Z. Marcus, J. Booth, Christopher C. Bunn, M. Leger, Spencer Hance, T. Sweeney, Carter McCardwell, David R. Kaeli:
Student cluster competition 2017, team Northeastern University: Reproducing vectorization of the Tersoff multi-body potential on the NVIDIA V100. Parallel Comput. 78: 67-71 (2018)
[j47]
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Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli:
Block Cooperation: Advancing Lifetime of Resistive Memories by Increasing Utilization of Error Correcting Codes. ACM Trans. Archit. Code Optim. 15(3): 36:1-36:26 (2018)
[j46]
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Alejandro Villegas, Rafael Asenjo, Angeles G. Navarro, Oscar G. Plata, David R. Kaeli:
Lightweight Hardware Transactional Memory for GPU Scratchpad Memory. IEEE Trans. Computers 67(6): 816-829 (2018)
[c159]
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Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy:
Iterative Spectral Method for Alternative Clustering. AISTATS 2018: 115-123
[c158]
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Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli:
Interactive Kernel Dimension Alternative Clustering on GPUs. ASONAM 2018: 885-892
[c157]
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Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh:
A Hybrid Approach to Identifying Key Factors in Environmental Health Studies. IEEE BigData 2018: 2855-2862
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Shi Dong, Zlatan Feric, Leiming Yu, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh:
An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT). IEEE BigData 2018: 5316-5318
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Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin:
Airavat: Improving energy efficiency of heterogeneous applications. DATE 2018: 731-736
[c154]
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Fritz G. Previlon, Charu Kalra, David R. Kaeli, Paolo Rech:
Evaluating the impact of execution parameters on program vulnerability in GPU applications. DATE 2018: 809-814
[c153]
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  - conf/dft/WilkeningPKGRS18
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Mark Wilkening, Fritz Previlon, David R. Kaeli, Sudhanva Gurumurthi, Steven Raasch, Vilas Sridharan:
Evaluating the Resilience of Parallel Applications. DFT 2018: 1-6
[c152]
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Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive dropout for hardening deep neural networks under adversarial attacks. ICCAD 2018: 71:1-71:8
[c151]
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Chao Luo, Yunsi Fei, David R. Kaeli:
GPU acceleration of RSA is vulnerable to side-channel timing attacks. ICCAD 2018: 113
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Chao Luo, Yunsi Fei, David R. Kaeli:
Effective simple-power analysis attacks of elliptic curve cryptography on embedded systems. ICCAD 2018: 115
[c149]
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Elmira Karimi, Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
A Timing Side-Channel Attack on a Mobile GPU. ICCD 2018: 67-74
[c148]
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Saiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
Profiling DNN Workloads on a Volta-based DGX-1 System. IISWC 2018: 122-133
[c147]
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Lu Wang, Xia Zhao, David R. Kaeli, Zhiying Wang, Lieven Eeckhout:
Intra-Cluster Coalescing to Reduce GPU NoC Pressure. IPDPS 2018: 990-999
[c146]
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Yifan Sun, Saoni Mukherjee, Trinayan Baruah, Shi Dong, Julian Gutierrez, Prannoy Mohan, David R. Kaeli:
Evaluating Performance Tradeoffs on the Radeon Open Compute Platform. ISPASS 2018: 209-218
[c145]
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Julian Gutierrez, Fritz Previlon, David R. Kaeli:
Employing Student Retention Strategies for an Introductory GPU Programming Course. EduHPC@SC 2018: 31-40
[c144]
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Cham Kalra, Fritz Previlon, Xiangyu Li, Norman Rubin, David R. Kaeli:
PRISM: predicting resilience of GPU applications using statistical methods. SC 2018: 69:1-69:14
[c143]
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Eduard Ayguadé, Lluc Alvarez, Fabio Banchelli, Martin Burtscher, Arturo González-Escribano, Julian Gutierrez, David A. Joiner, David R. Kaeli, Fritz Previlon, Eduardo Rodriguez-Gutiez, David P. Bunde:
Peachy Parallel Assignments (EduHPC 2018). EduHPC@SC 2018: 78-85
[c142]
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Shi Dong, Xiang Gong, Yifan Sun, Trinayan Baruah, David R. Kaeli:
Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs. ICPE 2018: 96-106
[c141]
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Rozhin Doroudi, Rana Azghandi, Zlatan Feric, Omid Mohaddesi, Yifan Sun, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Pedro Sequeira, Stacy Marsella, Casper Harteveld:
An Integrated simulation Framework for examining Resiliency in pharmaceutical supply Chains considering Human Behaviors. WSC 2018: 88-99
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David R. Kaeli, Miquel Pericàs:
Proceedings of the 15th ACM International Conference on Computing Frontiers, CF 2018, Ischia, Italy, May 08-10, 2018. ACM 2018 [contents]
[e13]
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David R. Kaeli, John Cavazos:
11th Workshop on General Purpose Processing using GPUs, GPGPU@PPoPP 2018, February 25, 2018, Vosendorf (Vienna), Austria. ACM 2018 [contents]
[i7]
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Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin:
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. CoRR abs/1809.05165 (2018)
[i6]
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Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR abs/1811.02884 (2018)
2017
[c140]
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Xiang Gong, Zhongliang Chen, Amir Kavyan Ziabari, Rafael Ubal, David R. Kaeli:
TwinKernels: an execution model to improve GPU hardware scheduling at compile time. CGO 2017: 39-49
[c139]
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Mohammad Khavari Tavana, Amir Kavyan Ziabari, David R. Kaeli:
Live together or Die Alone: Block cooperation to extend lifetime of resistive memories. DATE 2017: 1098-1103
[c138]
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Amin Jadidi, Mohammad Arjomand, Mohammad Khavari Tavana, David R. Kaeli, Mahmut T. Kandemir, Chita R. Das:
Exploring the Potential for Collaborative Data Compression and Hard-Error Tolerance in PCM Memories. DSN 2017: 85-96
[c137]
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Alejandro Villegas, Rafael Asenjo, Angeles G. Navarro, Oscar G. Plata, Rafael Ubal, David R. Kaeli:
Hardware Support for Scratchpad Memory Transactions on GPU Architectures. Euro-Par 2017: 273-286
[c136]
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Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
A Novel Side-Channel Timing Attack on GPUs. ACM Great Lakes Symposium on VLSI 2017: 167-172
[c135]
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Mohammad Khavari Tavana, David R. Kaeli:
Cost-effective write disturbance mitigation techniques for advancing PCM density. ICCAD 2017: 253-260
[c134]
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Akshay Lahiry, David R. Kaeli:
Dual Dictionary Compression for the Last Level Cache. ICCD 2017: 353-360
[c133]
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  - conf/iccd/FarazmandK17
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Navid Farazmand, David R. Kaeli:
Quality of Service-Aware Dynamic Voltage and Frequency Scaling for Mobile 3D Graphics Applications. ICCD 2017: 513-516
[c132]
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Leiming Yu, Xun Gong, Yifan Sun, Qianqian Fang, Norm Rubin, David R. Kaeli:
Moka: Model-based concurrent kernel analysis. IISWC 2017: 197-206
[c131]
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Xun Gong, Rafael Ubal, David R. Kaeli:
Multi2Sim Kepler: A detailed architectural GPU simulator. ISPASS 2017: 269-278
[c130]
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Mohammad Khavari Tavana, Amir Kavyan Ziabari, Mohammad Arjomand, Mahmut T. Kandemir, Chita R. Das, David R. Kaeli:
REMAP: a reliability/endurance mechanism for advancing PCM. MEMSYS 2017: 385-398
[c129]
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Fritz G. Previlon, Babatunde Egbantan, Devesh Tiwari, Paolo Rech, David R. Kaeli:
Combining architectural fault-injection and neutron beam testing approaches toward better understanding of GPU soft-error resilience. MWSCAS 2017: 898-901
[c128]
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Shi Dong, David R. Kaeli:
DNNMark: A Deep Neural Network Benchmark Suite for GPUs. GPGPU@PPoPP 2017: 63-72
[p2]
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  - books/sp/17/ParavecinoYFK17
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Fanny Nina Paravecino, Leiming Yu, Qianqian Fang, David R. Kaeli:
High-Performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 67-85
[i5]
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  - journals/corr/abs-1711-03244
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Leiming Yu, Fanny Nina Paravecino, David R. Kaeli, Qianqian Fang:
Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms. CoRR abs/1711.03244 (2017)
2016
[j45]
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Amir Kavyan Ziabari, Yifan Sun, Yenai Ma, Dana Schaa, José L. Abellán, Rafael Ubal, John Kim, Ajay Joshi, David R. Kaeli:
UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs. ACM Trans. Archit. Code Optim. 13(4): 35:1-35:25 (2016)
[c127]
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Yifan Sun, Chisheng Liang, Steven C. Sutherland, Casper Harteveld, David R. Kaeli:
Modeling player decisions in a supply chain game. CIG 2016: 1-8
[c126]
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Zhen Hang Jiang, Yunsi Fei, David R. Kaeli:
A complete key recovery timing attack on a GPU. HPCA 2016: 394-405
[c125]
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  - conf/iccd/MomeniTSK16
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Amir Momeni, Hamed Tabkhi, Gunar Schirner, David R. Kaeli:
Hardware thread reordering to boost OpenCL throughput on FPGAs. ICCD 2016: 257-264
[c124]
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  - conf/iiswc/SunGZYLMMVK16
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Yifan Sun, Xiang Gong, Amir Kavyan Ziabari, Leiming Yu, Xiangyu Li, Saoni Mukherjee, Carter McCardwell, Alejandro Villegas, David R. Kaeli:
Hetero-mark, a benchmark suite for CPU-GPU collaborative computing. IISWC 2016: 13-22
[c123]
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Yash Ukidave, Xiangyu Li, David R. Kaeli:
Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning. IPDPS 2016: 353-362
[c122]
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Zhongliang Chen, David R. Kaeli:
Balancing Scalar and Vector Execution on GPU Architectures. IPDPS 2016: 973-982
[c121]
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Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David R. Kaeli:
A comprehensive performance analysis of HSA and OpenCL 2.0. ISPASS 2016: 183-193
[c120]
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  - conf/sc/GutierrezPK16
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Julian Gutierrez, Fanny Nina Paravecino, David R. Kaeli:
A Fast Level-Set Segmentation Algorithm for Image Processing Designed For Parallel Architectures. IA3@SC 2016: 66-69
[e12]
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David R. Kaeli, John Cavazos:
Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, GPGPU@PPoPP 2016, Barcelona, Spain, March 12 - 16, 2016. ACM 2016, ISBN 978-1-4503-4195-0 [contents]
[i4]
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Mark D. Hill, Sarita V. Adve, Luis Ceze, Mary Jane Irwin, David R. Kaeli, Margaret Martonosi, Josep Torrellas, Thomas F. Wenisch, David A. Wood, Katherine A. Yelick:
21st Century Computer Architecture. CoRR abs/1609.06756 (2016)
2015
[j44]
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Alejandro Valero, Salvador Petit, Julio Sahuquillo, David R. Kaeli, José Duato:
A reuse-based refresh policy for energy-aware eDRAM caches. Microprocess. Microsystems 39(1): 37-48 (2015)
[j43]
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  - journals/sigarch/MomeniTUSK15
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Amir Momeni, Hamed Tabkhi, Yash Ukidave, Gunar Schirner, David R. Kaeli:
Exploring the Efficiency of the OpenCL Pipe Semantic on an FPGA. SIGARCH Comput. Archit. News 43(4): 52-57 (2015)
[c119]
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Yash Ukidave, David R. Kaeli, Umesh Gupta, Kurt Keville:
Performance of the NVIDIA Jetson TK1 in HPC. CLUSTER 2015: 533-534
[c118]
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Amir Momeni, Hamed Tabkhi, Gunar Schirner, David R. Kaeli:
Bridging Architecture and Programming for Throughput-Oriented Vision Processing (Abstract Only). FPGA 2015: 275
[c117]
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Chao Luo, Yunsi Fei, Pei Luo, Saoni Mukherjee, David R. Kaeli:
Side-channel power analysis of a GPU AES implementation. ICCD 2015: 281-288
[c116]
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  - conf/ics/ZiabariAUCJK15
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Amir Kavyan Ziabari, José L. Abellán, Rafael Ubal, Chao Chen, Ajay Joshi, David R. Kaeli:
Leveraging Silicon-Photonic NoC for Designing Scalable GPUs. ICS 2015: 273-282
[c115]
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Pei Luo, Yunsi Fei, Xin Fang, A. Adam Ding, David R. Kaeli, Miriam Leeser:
Side-channel analysis of MAC-Keccak hardware implementations. HASP@ISCA 2015: 1:1-1:8
[c114]
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Saoni Mukherjee, Xiang Gong, Leiming Yu, Carter McCardwell, Yash Ukidave, Tuan Dao, Fanny Nina Paravecino, David R. Kaeli:
Exploring the features of OpenCL 2.0. IWOCL 2015: 5:1-5:5
[c113]
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Amir Kavyan Ziabari, Rafael Ubal Tena, Dana Schaa, David R. Kaeli:
A framework for visualization of OpenCL applications execution: a tutorial. IWOCL 2015: 22:1-22:2
[c112]
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  - conf/mlsp/AzmandianKDA15
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Fatemeh Azmandian, David R. Kaeli, Jennifer G. Dy, Javed A. Aslam:
Securing virtual execution environments through machine learning-based intrusion detection. MLSP 2015: 1-6
[c111]
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Amir Kavyan Ziabari, José L. Abellán, Yenai Ma, Ajay Joshi, David R. Kaeli:
Asymmetric NoC Architectures for GPU Systems. NOCS 2015: 25:1-25:8
[c110]
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Leiming Yu, Yan Zhang, Xiang Gong, Nilay Roy, Lee Makowski, David R. Kaeli:
High performance computing of fiber scattering simulation. GPGPU@PPoPP 2015: 90-98
[c109]
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  - conf/vts/DeBardelebenBKR15
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Nathan DeBardeleben, Sean Blanchard, David R. Kaeli, Paolo Rech:
Field, experimental, and analytical data on large-scale HPC systems and evaluation of the implications for exascale system design. VTS 2015: 1-2
[c108]
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Amir Kavyan Ziabari, Rafael Ubal, Dana Schaa, David R. Kaeli:
Visualization of OpenCL application execution on CPU-GPU systems. WCAE 2015: 3:1-3:8
[c107]
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  - conf/wcae/MomeniPDSKK15
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Amir Momeni, Fritz Previlon, Agamemnon Despopoulos, Gunar Schirner, John Kimani, David R. Kaeli:
Engaging sophomores in embedded design using robotics. WCAE 2015: 9:1-9:6
[c106]
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  - conf/wosp/UkidavePYKMCMDMK15
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Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David R. Kaeli:
NUPAR: A Benchmark Suite for Modern GPU Architectures. ICPE 2015: 253-264
[e11]
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David R. Kaeli, John Cavazos:
Proceedings of the 8th Workshop on General Purpose Processing using GPUs, GPGPU@PPoPP 2015, San Francisco, CA, USA, February 7, 2015. ACM 2015, ISBN 978-1-4503-3407-5 [contents]
[i3]
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Pei Luo, Yunsi Fei, Xin Fang, A. Adam Ding, David R. Kaeli, Miriam Leeser:
Side-Channel Analysis of MAC-Keccak Hardware Implementations. IACR Cryptol. ePrint Arch. 2015: 411 (2015)
2014
[j42]
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Yash Ukidave, Amir Kavyan Ziabari, Perhaad Mistry, Gunar Schirner, David R. Kaeli:
Analyzing power efficiency of optimization techniques and algorithm design methods for applications on heterogeneous platforms. Int. J. High Perform. Comput. Appl. 28(3): 319-334 (2014)
[j41]
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Enqiang Sun, David R. Kaeli:
Aggressive Value Prediction on a GPU. Int. J. Parallel Program. 42(1): 30-48 (2014)
[j40]
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Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier Detection. J. Comput. Sci. Technol. 29(3): 408-422 (2014)
[c105]
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Yash Ukidave, Xiang Gong, David R. Kaeli:
Performance Evaluation and Optimization Mechanisms for Inter-operable Graphics and Computation on GPUs. GPGPU@ASPLOS 2014: 37
[c104]
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Rafael Ubal, Dana Schaa, Perhaad Mistry, Xiang Gong, Yash Ukidave, Zhongliang Chen, Gunar Schirner, David R. Kaeli:
Exploring the Heterogeneous Design Space for both Performance and Reliability. DAC 2014: 181:1-181:6
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Fanny Nina Paravecino, David R. Kaeli:
Accelerated Connected Component Labeling Using CUDA Framework. ICCVG 2014: 502-509
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Leiming Yu, Yash Ukidave, David R. Kaeli:
GPU-Accelerated HMM for Speech Recognition. ICPP Workshops 2014: 395-402
[c101]
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Ayse Yilmazer, Zhongliang Chen, David R. Kaeli:
Scalar Waving: Improving the Efficiency of SIMD Execution on GPUs. IPDPS 2014: 103-112
[c100]
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Tushar Swamy, Neel Shah, Pei Luo, Yunsi Fei, David R. Kaeli:
Scalable and efficient implementation of correlation power analysis using graphics processing units (GPUs). HASP@ISCA 2014: 10:1-10:8
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Amir Momeni, Perhaad Mistry, David R. Kaeli:
A parallel clustering algorithm for placement. ISQED 2014: 349-356
[c98]
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  - conf/micro/WilkeningSLPGK14
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Mark Wilkening, Vilas Sridharan, Si Li, Fritz Previlon, Sudhanva Gurumurthi, David R. Kaeli:
Calculating Architectural Vulnerability Factors for Spatial Multi-Bit Transient Faults. MICRO 2014: 293-305
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Pei Luo, Yunsi Fei, Xin Fang, A. Adam Ding, Miriam Leeser, David R. Kaeli:
Power analysis attack on hardware implementation of MAC-Keccak on FPGAs. ReConFig 2014: 1-7
[c96]
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Yash Ukidave, Charu Kalra, David R. Kaeli, Perhaad Mistry, Dana Schaa:
Runtime Support for Adaptive Spatial Partitioning and Inter-Kernel Communication on GPUs. SBAC-PAD 2014: 168-175
[c95]
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Esra N. Yolacan, Jennifer G. Dy, David R. Kaeli:
System Call Anomaly Detection Using Multi-HMMs. SERE (Companion) 2014: 25-30
[p1]
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Yash Ukidave, Gunar Schirner, David R. Kaeli:
Fast Fourier Transform (FFT) on GPUs. Numerical Computations with GPUs 2014: 339-361
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John Cavazos, Xiang Gong, David R. Kaeli:
Seventh Workshop on General Purpose Processing Using GPUs, GPGPU-7, Salt Lake City, UT, USA, March 1, 2014. ACM 2014, ISBN 978-1-4503-2766-4 [contents]
[e9]
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David R. Kaeli, Tipp Moseley:
12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2014, Orlando, FL, USA, February 15-19, 2014. ACM 2014, ISBN 978-1-4503-2670-4 [contents]
[i2]
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Pei Luo, Yunsi Fei, Xin Fang, A. Adam Ding, Miriam Leeser, David R. Kaeli:
Power Analysis Attack on Hardware Implementation of MAC-Keccak on FPGAs. IACR Cryptol. ePrint Arch. 2014: 854 (2014)
2013
[b2]
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Benedict R. Gaster, Lee W. Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa:
Heterogeneous Computing with OpenCL - Revised OpenCL 1.2 Edition. Morgan Kaufmann 2013, ISBN 978-0-12-405894-1, pp. I-XV, 1-291
[c94]
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Perhaad Mistry, Yash Ukidave, Dana Schaa, David R. Kaeli:
Valar: a benchmark suite to study the dynamic behavior of heterogeneous systems. GPGPU@ASPLOS 2013: 54-65
[c93]
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Ryan Whelan, Tim Leek, David R. Kaeli:
Architecture-Independent Dynamic Information Flow Tracking. CC 2013: 144-163
[c92]
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Rui Wang, Nagarajan Kandasamy, Chika Nwankpa, David R. Kaeli:
Datacenters as Controllable Load Resources in the Electricity Market. ICDCS 2013: 176-185
[c91]
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Ayse Yilmazer, David R. Kaeli:
HQL: A Scalable Synchronization Mechanism for GPUs. IPDPS 2013: 475-486
[c90]
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Yash Ukidave, David R. Kaeli:
Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms. IPDPS Workshops 2013: 1040-1049
[c89]
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Rodrigo Dominguez, David R. Kaeli:
Unstructured Control Flow in GPGPU. IPDPS Workshops 2013: 1194-1202
[c88]
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  - conf/ispass/ChenKR13
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Zhongliang Chen, David R. Kaeli, Norman Rubin:
Characterizing scalar opportunities in GPGPU applications. ISPASS 2013: 225-234
[c87]
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Yash Ukidave, Amir Kavyan Ziabari, Perhaad Mistry, Gunar Schirner, David R. Kaeli:
Quantifying the energy efficiency of FFT on heterogeneous platforms. ISPASS 2013: 235-244
[e8]
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John Cavazos, Xiang Gong, David R. Kaeli:
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, GPGPU-6, Houston, Texas, USA, March 16, 2013. ACM 2013, ISBN 978-1-4503-2017-7 [contents]
2012
[j39]
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Rafael Ubal, Julio Sahuquillo, Salvador Petit, Pedro López, David R. Kaeli:
A Sequentially Consistent Multiprocessor Architecture for Out-of-Order Retirement of Instructions. IEEE Trans. Parallel Distributed Syst. 23(8): 1361-1368 (2012)
[c86]
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Rafael Ubal, Byunghyun Jang, Perhaad Mistry, Dana Schaa, David R. Kaeli:
Multi2Sim: a simulation framework for CPU-GPU computing. PACT 2012: 335-344
[c85]
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Enqiang Sun, Dana Schaa, Richard Bagley, Norman Rubin, David R. Kaeli:
Enabling task-level scheduling on heterogeneous platforms. GPGPU@ASPLOS 2012: 84-93
[c84]
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  - conf/europar/RamirezNKM12
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Alex Ramírez, Dimitrios S. Nikolopoulos, David R. Kaeli, Satoshi Matsuoka:
Topic 16: GPU and Accelerators Computing. Euro-Par 2012: 857-858
[c83]
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Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Feature Weighting and Selection Using Hypothesis Margin of Boosting. ICDM 2012: 41-50
[c82]
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Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio. ICDM 2012: 51-60
[c81]
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Jennifer Mankin, David R. Kaeli:
Dione: A Flexible Disk Monitoring and Analysis Framework. RAID 2012: 127-146
[c80]
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Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. ACML 2012: 49-64
[e7]
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David R. Kaeli, John Cavazos, Enqiang Sun:
The 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, GPGPU-5, London, United Kingdom, March 3, 2012. ACM 2012, ISBN 978-1-4503-1233-2 [contents]
[e6]
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David R. Kaeli, Jerry Rolia, Lizy K. John, Diwakar Krishnamurthy:
Third Joint WOSP/SIPEW International Conference on Performance Engineering, ICPE'12, Boston, MA, USA - April 22 - 25, 2012. ACM 2012, ISBN 978-1-4503-1202-8 [contents]
2011
[j38]
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Fatemeh Azmandian, Micha Moffie, Malak Alshawabkeh, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Virtual machine monitor-based lightweight intrusion detection. ACM SIGOPS Oper. Syst. Rev. 45(2): 38-53 (2011)
[j37]
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  - journals/staeors/GoodmanKS11
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James A. Goodman, David R. Kaeli, Dana Schaa:
Accelerating an Imaging Spectroscopy Algorithm for Submerged Marine Environments Using Graphics Processing Units. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(3): 669-676 (2011)
[j36]
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David A. Bader, David R. Kaeli, Volodymyr V. Kindratenko:
Guest Editor's Introduction: Special Issue on High-Performance Computing with Accelerators. IEEE Trans. Parallel Distributed Syst. 22(1): 3-6 (2011)
[j35]
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Byunghyun Jang, Dana Schaa, Perhaad Mistry, David R. Kaeli:
Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures. IEEE Trans. Parallel Distributed Syst. 22(1): 105-118 (2011)
[c79]
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Rodrigo Dominguez, Dana Schaa, David R. Kaeli:
Caracal: dynamic translation of runtime environments for GPUs. GPGPU 2011: 5
[c78]
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  - conf/asplos/MistryGRKH11
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Perhaad Mistry, Chris Gregg, Norman Rubin, David R. Kaeli, Kim M. Hazelwood:
Analyzing program flow within a many-kernel OpenCL application. GPGPU 2011: 10
[c77]
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  - conf/cf/ArzuagaK11
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Emmanuel Arzuaga, David R. Kaeli:
Increasing power/performance resource efficiency on virtualized enterprise servers. Conf. Computing Frontiers 2011: 8
[c76]
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  - conf/iccd/KaeliA11
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David R. Kaeli, David Akodes:
The convergence of HPC and embedded systems in our heterogeneous computing future. ICCD 2011: 9-11
[c75]
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Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems. ICMLA (1) 2011: 145-150
[c74]
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Malak Alshawabkeh, Javed A. Aslam, David R. Kaeli, Jennifer G. Dy:
A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments. ICTAI 2011: 879-881
[c73]
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Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Workload Characterization at the Virtualization Layer. MASCOTS 2011: 63-72
[c72]
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  - conf/sbac-pad/SunK11
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Enqiang Sun, David R. Kaeli:
Aggressive Value Prediction on a GPU. SBAC-PAD 2011: 9-16
2010
[c71]
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  - conf/asplos/AlshawabkehJK10
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Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli:
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems. GPGPU 2010: 104-110
[c70]
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  - conf/iccd/UbalSPLK10
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Rafael Ubal, Julio Sahuquillo, Salvador Petit, Pedro López, David R. Kaeli:
Out-of-order retirement of instructions in sequentially consistent multiprocessors. ICCD 2010: 1-8
[c69]
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Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli:
Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data. ICMLA 2010: 823-827
[c68]
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Vilas Sridharan, David R. Kaeli:
Using hardware vulnerability factors to enhance AVF analysis. ISCA 2010: 461-472
[c67]
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  - conf/ppopp/JangMSDK10
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Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrigo Dominguez, David R. Kaeli:
Data transformations enabling loop vectorization on multithreaded data parallel architectures. PPoPP 2010: 353-354
[c66]
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Ryan Whelan, David R. Kaeli:
Toward Whole-System Dynamic Analysis for ARM-Based Mobile Devices. RAID 2010: 512-513
[c65]
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  - conf/vecpar/MistrySJKDM10
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Perhaad Mistry, Dana Schaa, Byunghyun Jang, David R. Kaeli, Albert Dvornik, Dwight Meglan:
Data Structures and Transformations for Physically Based Simulation on a GPU. VECPAR 2010: 162-171
[c64]
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Emmanuel Arzuaga, David R. Kaeli:
Quantifying load imbalance on virtualized enterprise servers. WOSP/SIPEW 2010: 235-242
[e5]
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  - conf/asplos/2010gpgpu
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David R. Kaeli, Miriam Leeser:
Proceedings of 3rd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU 2010, Pittsburgh, Pennsylvania, USA, March 14, 2010. ACM International Conference Proceeding Series 425, ACM 2010, ISBN 978-1-60558-935-0 [contents]
[e4]
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Andreas Moshovos, J. Gregory Steffan, Kim M. Hazelwood, David R. Kaeli:
Proceedings of the CGO 2010, The 8th International Symposium on Code Generation and Optimization, Toronto, Ontario, Canada, April 24-28, 2010. ACM 2010, ISBN 978-1-60558-635-9 [contents]

2000 – 2009

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2009
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Mehdi Baradaran Tahoori, Hossein Asadi, Brian Mullins, David R. Kaeli:
Obtaining FPGA soft error rate in high performance information systems. Microelectron. Reliab. 49(5): 551-557 (2009)
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Alex Aletà, Josep M. Codina, F. Jesús Sánchez, Antonio González, David R. Kaeli:
AGAMOS: A Graph-Based Approach to Modulo Scheduling for Clustered Microarchitectures. IEEE Trans. Computers 58(6): 770-783 (2009)
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Perhaad Mistry, Sherman Braganza, David R. Kaeli, Miriam Leeser:
Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA. GPGPU 2009: 28-37
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Byunghyun Jang, Synho Do, Homer H. Pien, David R. Kaeli:
Architecture-aware optimization targeting multithreaded stream computing. GPGPU 2009: 62-70
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Vilas Sridharan, David R. Kaeli:
Eliminating microarchitectural dependency from Architectural Vulnerability. HPCA 2009: 117-128
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Dana Schaa, David R. Kaeli:
Exploring the multiple-GPU design space. IPDPS 2009: 1-12
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Byunghyun Jang, David R. Kaeli, Synho Do, Homer H. Pien:
Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms. ISBI 2009: 185-188
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David R. Kaeli, Byunghyun Jang, Perhaad Mistry, Dana Schaa:
Profile-Guided Optimization of Critical Medical Imaging Algorithms. ISBI 2009: 1293-1293
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Jennifer Mankin, David R. Kaeli, John Ardini:
Software transactional memory for multicore embedded systems. LCTES 2009: 90-98
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David R. Kaeli, Miriam Leeser:
Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU 2009, Washington, DC, USA, March 8, 2009. ACM International Conference Proceeding Series 383, ACM 2009, ISBN 978-1-60558-517-8 [contents]
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David R. Kaeli, Kai Sachs:
Computer Performance Evaluation and Benchmarking, SPEC Benchmark Workshop 2009, Austin, TX, USA, January 25, 2009. Proceedings. Lecture Notes in Computer Science 5419, Springer 2009, ISBN 978-3-540-93798-2 [contents]
2008
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David R. Kaeli, Miriam Leeser:
Special issue: General-purpose processing using graphics processing units. J. Parallel Distributed Comput. 68(10): 1305-1306 (2008)
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David R. Kaeli, Miriam Leeser:
Acknowledgment to special issue reviewers. J. Parallel Distributed Comput. 68(10): 1402 (2008)
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Vilas Sridharan, David R. Kaeli:
Quantifying software vulnerability. WREFT@CF 2008: 323-328
[c55]
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George Smirnov, Kenneth Hu, David R. Kaeli:
Applying Spectral Analysis to Identify Individual Application Signatures. Int. CMG Conference 2008: 309-320
[c54]
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Renato J. O. Figueiredo, P. Oscar Boykin, José A. B. Fortes, Tao Li, Jie-Kwon Peir, David Wolinsky, Lizy K. John, David R. Kaeli, David J. Lilja, Sally A. McKee, Gokhan Memik, Alain Roy, Gary S. Tyson:
Archer: A Community Distributed Computing Infrastructure for Computer Architecture Research and Education. CollaborateCom 2008: 70-84
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Syed Zafar Shazli, Mohammed A. Abdul-Aziz, Mehdi Baradaran Tahoori, David R. Kaeli:
A Field Analysis of System-level Effects of Soft Errors Occurring in Microprocessors used in Information Systems. ITC 2008: 1-10
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Burak Erem, Gregory C. Sharp, Ziji Wu, David R. Kaeli:
Interactive Deformable Registration Visualization and Analysis of 4D Computed Tomography. ICMB 2008: 232-239
[i1]
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Renato J. O. Figueiredo, P. Oscar Boykin, José A. B. Fortes, Tao Li, Jie-Kwon Peir, David Wolinsky, Lizy Kurian John, David R. Kaeli, David J. Lilja, Sally A. McKee, Gokhan Memik, Alain Roy, Gary S. Tyson:
Archer: A Community Distributed Computing Infrastructure for Computer Architecture Research and Education. CoRR abs/0807.1765 (2008)
2007
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Dong Ye, Joydeep Ray, David R. Kaeli:
Characterization of file I/O activity for SPEC CPU2006. SIGARCH Comput. Archit. News 35(1): 112-117 (2007)
[j29]
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Ke Ning, David R. Kaeli:
Power Aware External Bus Arbitration for System-on-a-Chip Embedded Systems. Trans. High Perform. Embed. Archit. Compil. 1: 116-135 (2007)
[c51]
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Alex Aletà, Josep M. Codina, Antonio González, David R. Kaeli:
Heterogeneous Clustered VLIW Microarchitectures. CGO 2007: 354-366
[c50]
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Ke Ning, David R. Kaeli:
External memory page remapping for embedded multimedia systems. LCTES 2007: 185-194
[c49]
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Michael G. Benjamin, David R. Kaeli:
Stream Image Processing on a Dual-Core Embedded System. SAMOS 2007: 149-158
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Diego Rivera, Dana Schaa, Micha Moffie, David R. Kaeli:
Exploring Novel Parallelization Technologies for 3-D Imaging Applications. SBAC-PAD 2007: 26-33
[c47]
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Brian Mullins, Hossein Asadi, Mehdi Baradaran Tahoori, David R. Kaeli, Kevin Granlund, Rudy Bauer, Scott Romano:
Case Study: Soft Error Rate Analysis in Storage Systems. VTS 2007: 256-264
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Koen De Bosschere, David R. Kaeli, Per Stenström, David B. Whalley, Theo Ungerer:
High Performance Embedded Architectures and Compilers, Second International Conference, HiPEAC 2007, Ghent, Belgium, January 28-30, 2007, Proceedings. Lecture Notes in Computer Science 4367, Springer 2007, ISBN 978-3-540-69337-6 [contents]
2006
[j28]
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Morteza Fayyazi, David R. Kaeli, Waleed Meleis:
An adjustable linear time parallel algorithm for maximum weight bipartite matching. Inf. Process. Lett. 97(5): 186-190 (2006)
[j27]
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Vilas Sridharan, Hossein Asadi, Mehdi Baradaran Tahoori, David R. Kaeli:
Reducing Data Cache Susceptibility to Soft Errors. IEEE Trans. Dependable Secur. Comput. 3(4): 353-364 (2006)
[j26]
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Salvador Petit, Julio Sahuquillo, Ana Pont, David R. Kaeli:
Addressing a workload characterization study to the design of consistency protocols. J. Supercomput. 38(1): 49-72 (2006)
[c46]
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Micha Moffie, Winnie Cheng, David R. Kaeli, Qin Zhao:
Hunting Trojan Horses. ASID 2006: 12-17
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Hossein Asadi, Vilas Sridharan, Mehdi Baradaran Tahoori, David R. Kaeli:
Vulnerability analysis of L2 cache elements to single event upsets. DATE 2006: 1276-1281
[c44]
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Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao Wu:
Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography. ICPADS (1) 2006: 291-299
[c43]
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Dong Ye, Joydeep Ray, Christophe Harle, David R. Kaeli:
Performance Characterization of SPEC CPU2006 Integer Benchmarks on x86-64 Architecture. IISWC 2006: 120-127
[c42]
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Michael G. Benjamin, David R. Kaeli, Richard Platcow:
Experiences with the Blackfin architecture in an embedded systems lab. WCAE 2006: 2
2005
[j25]
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Dong Ye, David R. Kaeli:
A reliable return address stack: microarchitectural features to defeat stack smashing. SIGARCH Comput. Archit. News 33(1): 73-80 (2005)
[j24]
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Derek Uluski, Micha Moffie, David R. Kaeli:
Characterizing antivirus workload execution. SIGARCH Comput. Archit. News 33(1): 90-98 (2005)
[j23]
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David R. Kaeli, Robert Cohn:
Introduction to the special issue. SIGARCH Comput. Archit. News 33(5): 1-2 (2005)
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Micha Moffie, David R. Kaeli:
ASM: application security monitor. SIGARCH Comput. Archit. News 33(5): 21-26 (2005)
[c41]
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Salvador Petit, Julio Sahuquillo, Jose M. Such, David R. Kaeli:
Exploiting temporal locality in drowsy cache policies. Conf. Computing Frontiers 2005: 371-377
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Yijian Wang, David R. Kaeli:
Load Balancing using Grid-based Peer-to-Peer Parallel I/O. CLUSTER 2005: 1-10
[c39]
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Ke Ning, David R. Kaeli:
Power Aware External Bus Arbitration for System-on-a-Chip Embedded Systems. HiPEAC 2005: 87-101
[c38]
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Hossein Asadi, Vilas Sridharan, Mehdi Baradaran Tahoori, David R. Kaeli:
Balancing Performance and Reliability in the Memory Hierarchy. ISPASS 2005: 269-279
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Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli:
A multinomial clustering model for fast simulation of computer architecture designs. KDD 2005: 808-813
[c36]
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Alex Aletà, Josep M. Codina, Antonio González, David R. Kaeli:
Demystifying on-the-fly spill code. PLDI 2005: 180-189
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Huanmei Wu, Betty Salzberg, Gregory C. Sharp, Steve B. Jiang, Hiroki Shirato, David R. Kaeli:
Subsequence Matching on Structured Time Series Data. SIGMOD Conference 2005: 682-693
2004
[j21]
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Chakib Ouarraui, David R. Kaeli:
Developing object-oriented parallel iterative methods. Int. J. High Perform. Comput. Netw. 1(1/2/3): 85-90 (2004)
[j20]
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Alex Aletà, Josep M. Codina, Antonio González, David R. Kaeli:
Removing communications in clustered microarchitectures through instruction replication. ACM Trans. Archit. Code Optim. 1(2): 127-151 (2004)
[c34]
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Jennifer Black, Emanuel Melachrinoudis, David R. Kaeli:
Bi-Criteria Models for All-Uses Test Suite Reduction. ICSE 2004: 106-115
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Emmanuel Arzuaga-Cruz, Luis O. Jimenez-Rodriguez, Miguel Velez-Reyes, David R. Kaeli, Eladio Rodriguez-Diaz, Hector T. Velazquez-Santana, Alexey Castrodad-Carrau, Laura E. Santos-Campis, Cesar Santiago:
A MATLAB toolbox for Hyperspectral Image Analysis. IGARSS 2004: 4839-4842
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Morteza Fayyazi, David R. Kaeli, Waleed Meleis:
Parallel Maximum Weight Bipartite Matching Algorithms for Scheduling in Input-Queued Switches. IPDPS 2004
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Yijian Wang, David R. Kaeli:
Execution-Driven Simulation of Network Storage Systems. MASCOTS 2004: 604-611
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Ke Ning, David R. Kaeli:
Bus Power Estimation and Power-Efficient Bus Arbitration for System-on-a-Chip Embedded Systems. PACS 2004: 95-106
[c29]
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Deniz Balkan, John Kalamatianos, David R. Kaeli:
A Study of Errant Pipeline Flushes Caused by Value Misspeculation. SBAC-PAD 2004: 32-39
[c28]
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Salvador Petit, Julio Sahuquillo, Ana Pont, David R. Kaeli:
Characterizing the Dynamic Behavior of Workload Execution in SVM systems. SBAC-PAD 2004: 230-237
2003
[j19]
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Augustus K. Uht, David Morano, Alireza Khalafi, David R. Kaeli:
Levo - A Scalable Processor With High IPC. J. Instr. Level Parallelism 5 (2003)
[j18]
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David Morano, Alireza Khalafi, David R. Kaeli, Augustus K. Uht:
Realizing high IPC through a scalable memory-latency tolerant multipath microarchitecture. SIGARCH Comput. Archit. News 31(1): 16-25 (2003)
[c27]
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Yijian Wang, David R. Kaeli:
Profile-guided I/O partitioning. ICS 2003: 252-260
[c26]
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Alex Aletà, Josep M. Codina, Antonio González, David R. Kaeli:
Instruction Replication for Clustered Microarchitectures. MICRO 2003: 326-338
[c25]
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Morteza Fayyazi, David R. Kaeli, Zainalabedin Navabi:
Dynamic Input Buffer Allocation (DIBA) for Fault Tolerant Ethernet Packet Switching. PDPTA 2003: 819-823
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Yijian Wang, David R. Kaeli:
Source level transformations to improve I/O data partitioning. SNAPI@PACT 2003: 27-35
[c23]
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Huanmei Wu, Becky Norum, Judith Newmark, Betty Salzberg, Carol M. Warner, Charles DiMarzio, David R. Kaeli:
The CenSSIS Image Database. SSDBM 2003: 117-126
2002
[c22]
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  - conf/IEEEpact/AletaCSGK02
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Alex Aletà, Josep M. Codina, F. Jesús Sánchez, Antonio González, David R. Kaeli:
Exploiting Pseudo-Schedules to Guide Data Dependence Graph Partitioning. IEEE PACT 2002: 281-290
[c21]
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Augustus K. Uht, Alireza Khalafi, David Morano, Marcos de Alba, David R. Kaeli:
Realizing High IPC Using Time-Tagged Resource-Flow Computing. Euro-Par 2002: 490-499
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Morteza Fayyazi, David R. Kaeli:
Localized Message Passing Structure for High Speed Ethernet Packet Switching. PDPTA 2002: 1551-1557
2001
[j17]
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  - journals/sigarch/AltmanK01
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Erik R. Altman, David R. Kaeli:
WBT-2000: workshop on binary translation - 2000. SIGARCH Comput. Archit. News 29(1): 23-25 (2001)
[j16]
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Erik R. Altman, David R. Kaeli:
Workshop on binary translation - 2001. SIGARCH Comput. Archit. News 29(5): 84-85 (2001)
[j15]
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  - journals/tc/HadimiogluKL01
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Haldun Hadimioglu, David R. Kaeli, Fabrizio Lombardi:
Introduction to the Special Section on High Performance Memory Systems. IEEE Trans. Computers 50(11): 1103-1104 (2001)
2000
[j14]
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  - journals/computer/AltmanKS00
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Erik R. Altman, David R. Kaeli, Yaron Sheffer:
Welcome to the Opportunities of Binary Translation. Computer 33(3): 40-45 (2000)
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Hakan Aydin, David R. Kaeli:
Using cache line coloring to perform aggressive procedure inlining. SIGARCH Comput. Archit. News 28(1): 62-71 (2000)
[c19]
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  - conf/anss/SairOKF00
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Suleyman Sair, Guiseppe Olivadoti, David R. Kaeli, José Fridman:
DSPTune: A Performance Evaluation Toolset for the SHARC Signal Processor. Annual Simulation Symposium 2000: 51-57
[c18]
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John Kalamatianos, David R. Kaeli:
Accurate simulation and evaluation of code reordering. ISPASS 2000: 13-20
[c17]
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Gabby Yi, David R. Kaeli, Ellen Duwart:
Learning outside of the classroom: the Northeastern University research co-op fellowship program. WCAE 2000: 13

1990 – 1999

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1999
[j12]
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John Kalamatianos, David R. Kaeli:
Indirect Branch Prediction Using Data Compression Techniques. J. Instr. Level Parallelism 1 (1999)
[j11]
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Yue Liu, Mona Dimitri, David R. Kaeli:
Branch-directed and pointer-based data cache prefetching. J. Syst. Archit. 45(12-13): 1047-1073 (1999)
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John Kalamatianos, David R. Kaeli:
Improving the accuracy of indirect branch prediction via branch classification. SIGARCH Comput. Archit. News 27(1): 23-26 (1999)
[j9]
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John Kalamatianos, Alireza Khalafi, David R. Kaeli, Waleed Meleis:
Analysis of Temporal-Based Program Behavior for Improved Instruction Cache Performance. IEEE Trans. Computers 48(2): 168-175 (1999)
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David R. Kaeli, Bruce L. Jacob:
Fifth Annual Workshop on Computer Education. HPCA 1999: 320
1998
[j8]
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Jason P. Casmira, David P. Hunter, David R. Kaeli:
Tracing and Characterization of Windows NT-based System Workloads. Digit. Tech. J. 10(1): 6-21 (1998)
[j7]
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Stephen Strickland, Erhan Ergin, David R. Kaeli, Paul M. Zavracky:
VLSI design in the 3rd dimension. Integr. 25(1): 1-16 (1998)
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Jason P. Casmira, John Fraser, David R. Kaeli, Waleed Meleis:
Operating System Impact on Trace-Driven Simulation. Annual Simulation Symposium 1998: 76-82
[c14]
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John Kalamatianos, David R. Kaeli:
Temporal-Based Procedure Reordering for Improved Instruction Cache Performance. HPCA 1998: 244-253
[c13]
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John Kalamatianos, David R. Kaeli:
Predicting Indirect Branches via Data Compression. MICRO 1998: 272-281
1997
[j6]
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David R. Kaeli, Liana L. Fong, Richard C. Booth, Kerry C. Imming, Joseph P. Weigel:
Performance analysis on a CC-NUMA prototype. IBM J. Res. Dev. 41(3): 205-214 (1997)
[j5]
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David R. Kaeli, Philip G. Emma:
Improving the Accuracy of History Based Branch Prediction. IEEE Trans. Computers 46(4): 469-472 (1997)
[c12]
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Mark S. Squillante, David R. Kaeli, Himanshu Sinh:
Analytic Models of Workload Behavior and Pipeline Performance. MASCOTS 1997: 91-
[c11]
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Amir H. Hashemi, David R. Kaeli, Brad Calder:
Efficient Procedure Mapping Using Cache Line Coloring. PLDI 1997: 171-182
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Jason P. Casmira, John Fraser, David R. Kaeli:
Operating-system level tracing tools for the DEC AXP architecture. WCAE@HPCA 1997: 10
[r1]
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David R. Kaeli:
Digital Computer Architecture. The Computer Science and Engineering Handbook 1997: 412-426
1996
[b1]
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Philip M. Sailor, David R. Kaeli:
The DLX instruction set architecture handbook. Morgan Kaufmann 1996, ISBN 978-1-55860-371-4, pp. I-XIII, 1-153
[j4]
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David R. Kaeli, O. Richard LaMaire, Peter P. Hennet, William W. White, William J. Starke:
Real-Time Trace Generation. Int. J. Comput. Simul. 6(1): 53- (1996)
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Samson Belayneh, David R. Kaeli:
A discussion on non-blocking/lockup-free caches. SIGARCH Comput. Archit. News 24(3): 18-25 (1996)
[j2]
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Samson Belayneh, David R. Kaeli:
A discussion on non-blocking/lockup-free caches. SIGARCH Comput. Archit. News 24(4): 16 (1996)
[c9]
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Angela Sampogna, David R. Kaeli, Daniel Green, Michael Silva, Christopher J. Sniezek:
Performance Modeling Using Object-Oriented Execution-Driven Simulation. Annual Simulation Symposium 1996: 183-192
[c8]
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Yue Liu, David R. Kaeli:
Branch-Directed and Stride-Based Data Cache Prefetching. ICCD 1996: 225-230
[c7]
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Samson Belayneh, H. Sinha, David R. Kaeli:
Improving Multiprocessor Scalability Using Lockup Free Caches. PDPTA 1996: 619-622
1995
[c6]
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David R. Kaeli, Liana L. Fong, Dwight Renfrew, Kerry C. Imming, Richard C. Booth:
Scalable Performance on a Distributed Shared-Memory Machine. PDPTA 1995: 728-737
[c5]
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David R. Kaeli:
Combining object-oriented design and computer architecture into a single senior-level course. WCAE@ISCA 1995: 11
1993
[c4]
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David R. Kaeli:
Issues in Trace-Driven Simulation. Performance/SIGMETRICS Tutorials 1993: 224-244
1992
[j1]
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  - journals/jsa/KaeliEKP92
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David R. Kaeli, Philip G. Emma, Joshua W. Knight, Thomas R. Puzak:
Contrasting instruction-fetch time and instruction-decode time branch prediction mechanisms: Achieving synergy through their cooperative operation. Microprocess. Microprogramming 35(1-5): 401-408 (1992)
1991
[c3]
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David R. Kaeli, Philip G. Emma:
Branch History Table Prediction of Moving Target Branches due to Subroutine Returns. ISCA 1991: 34-42
[c2]
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  - conf/sigsmall/MijanicK91
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Zoran Mijanic, David R. Kaeli:
A Study of 80X86/80X87 Floating-Point Execution. SIGSMALL/PC 1991: 28-32

1980 – 1989

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1989
[c1]
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David R. Kaeli:
PC Workload Characterization. SIGMETRICS 1989: 220

Coauthor Index

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