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46th ISCA 2019: Phoenix, AZ, USA
- Srilatha Bobbie Manne, Hillery C. Hunter, Erik R. Altman:
Proceedings of the 46th International Symposium on Computer Architecture, ISCA 2019, Phoenix, AZ, USA, June 22-26, 2019. ACM 2019, ISBN 978-1-4503-6669-4 - Eshan Bhatia, Gino Chacon, Seth H. Pugsley, Elvira Teran, Paul V. Gratz, Daniel A. Jiménez:
Perceptron-based prefetch filtering. 1-13 - Stephen J. Tarsa, Rangeen Basu Roy Chowdhury, Julien Sebot, Gautham N. Chinya, Jayesh Gaur, Karthik Sankaranarayanan, Chit-Kwan Lin, Robert Chappell, Ronak Singhal, Hong Wang:
Post-silicon CPU adaptation made practical using machine learning. 14-26 - Elba Garza, Samira Mirbagher Ajorpaz, Tahsin Ahmad Khan, Daniel A. Jiménez:
Bit-level perceptron prediction for indirect branches. 27-38 - Yi Ding, Nikita Mishra, Henry Hoffmann:
Generative and multi-phase learning for computer systems optimization. 39-52 - Chenhao Xie, Xin Fu, Mingsong Chen, Shuaiwen Leon Song:
OO-VR: NUMA friendly object-oriented VR rendering framework for future NUMA-based multi-GPU systems. 53-65 - Yu Feng, Yuhao Zhu:
PES: proactive event scheduling for responsive and energy-efficient mobile web computing. 66-78 - (Withdrawn) 3D-based video recognition acceleration by leveraging temporal locality. 79-90
- Yue Leng, Chi-Chun Chen, Qiuyue Sun, Jian Huang, Yuhao Zhu:
Energy-efficient video processing for virtual reality. 91-103 - Amro Awad, Mao Ye, Yan Solihin, Laurent Njilla, Kazi Abu Zubair:
Triad-NVM: persistency for integrity-protected and encrypted non-volatile memories. 104-115 - Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram:
GraphSSD: graph semantics aware SSD. 116-128 - Hasan Hassan, Minesh Patel, Jeremie S. Kim, Abdullah Giray Yaglikçi, Nandita Vijaykumar, Nika Mansouri-Ghiasi, Saugata Ghose, Onur Mutlu:
CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability. 129-142 - Sihang Liu, Korakit Seemakhupt, Gennady Pekhimenko, Aasheesh Kolli, Samira Manabi Khan:
Janus: optimizing memory and storage support for non-volatile memory systems. 143-156 - Kazi Abu Zubair, Amro Awad:
Anubis: ultra-low overhead and recovery time for secure non-volatile memories. 157-168 - Ayub A. Gubran, Tor M. Aamodt:
Emerald: graphics modeling for SoC systems. 169-182 - Yunho Oh, Gunjae Koo, Murali Annavaram, Won Woo Ro:
Linebacker: preserving victim cache lines in idle register files of GPUs. 183-196 - 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. 197-209 - Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Opportunistic computing in GPU architectures. 210-223 - Debashis Ganguly, Ziyu Zhang, Jun Yang, Rami G. Melhem:
Interplay between hardware prefetcher and page eviction policy in CPU-GPU unified virtual memory. 224-235 - Tzu-Hsien Yang, Hsiang-Yun Cheng, Chia-Lin Yang, I-Ching Tseng, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li:
Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks. 236-249 - Hanhwi Jang, Joonsung Kim, Jae-Eon Jo, Jaewon Lee, Jangwoo Kim:
MnnFast: a fast and scalable system architecture for memory-augmented neural networks. 250-263 - Chunhua Deng, Fangxuan Sun, Xuehai Qian, Jun Lin, Zhongfeng Wang, Bo Yuan:
TIE: energy-efficient tensor train-based inference engine for deep neural network. 264-278 - Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang:
Accelerating distributed reinforcement learning with in-switch computing. 279-291 - Jiaqi Zhang, Xiangru Chen, Mingcong Song, Tao Li:
Eager pruning: algorithm and architecture support for fast training of deep neural networks. 292-303 - Sayeh Sharify, Alberto Delmas Lascorz, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos:
Laconic deep learning inference acceleration. 304-317 - Dimitrios Skarlatos, Mengjia Yan, Bhargava Gopireddy, Read Sprabery, Josep Torrellas, Christopher W. Fletcher:
MicroScope: enabling microarchitectural replay attacks. 318-331 - Mengjia Yan, Jen-Yang Wen, Christopher W. Fletcher, Josep Torrellas:
SecDir: a secure directory to defeat directory side-channel attacks. 332-345 - Shuwen Deng, Wenjie Xiong, Jakub Szefer:
Secure TLBs. 346-359 - Moinuddin K. Qureshi:
New attacks and defense for encrypted-address cache. 360-371 - Shaizeen Aga, Satish Narayanasamy:
InvisiPage: oblivious demand paging for secure enclaves. 372-384 - Eojin Lee, Ingab Kang, Sukhan Lee, G. Edward Suh, Jung Ho Ahn:
TWiCe: preventing row-hammering by exploiting time window counters. 385-396 - Daichi Fujiki, Scott A. Mahlke, Reetuparna Das:
Duality cache for data parallel acceleration. 397-410 - Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout:
Adaptive memory-side last-level GPU caching. 411-423 - Albert Segura, José-María Arnau, Antonio González:
SCU: a GPU stream compaction unit for graph processing. 424-435 - Ricardo Alves, Alberto Ros, David Black-Schaffer, Stefanos Kaxiras:
Filter caching for free: the untapped potential of the store-buffer. 436-448 - Hao Wu, Krishnendra Nathella, Dam Sunwoo, Akanksha Jain, Calvin Lin:
Efficient metadata management for irregular data prefetching. 449-461 - Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan:
AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. 462-473 - Weixiang Jiang, Ziyang Jia, Sirui Feng, Fangming Liu, Hai Jin:
Fine-grained warm water cooling for improving datacenter economy. 474-486 - Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar:
DeepAttest: an end-to-end attestation framework for deep neural networks. 487-498 - Yuzhao Wang, Lele Li, You Wu, Junqing Yu, Zhibin Yu, Xuehai Qian:
TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. 499-512 - Akshitha Sriraman, Abhishek Dhanotia, Thomas F. Wenisch:
SoftSKU: optimizing server architectures for microservice diversity @scale. 513-526 - Prakash Murali, Norbert Matthias Linke, Margaret Martonosi, Ali Javadi-Abhari, Nhung Hong Nguyen, Cinthia Huerta Alderete:
Full-stack, real-system quantum computer studies: architectural comparisons and design insights. 527-540 - Yipeng Huang, Margaret Martonosi:
Statistical assertions for validating patterns and finding bugs in quantum programs. 541-553 - Pranav Gokhale, Jonathan M. Baker, Casey Duckering, Natalie C. Brown, Kenneth R. Brown, Frederic T. Chong:
Asymptotic improvements to quantum circuits via qutrits. 554-566 - Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang:
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. 567-578 - Kaitlin N. Smith, Mitchell A. Thornton:
A quantum computational compiler and design tool for technology-specific targets. 579-588 - Ke Wang, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
IntelliNoC: a holistic design framework for energy-efficient and reliable on-chip communication for manycores. 589-600 - Yifan Yuan, Yipeng Wang, Ren Wang, Jian Huang:
HALO: accelerating flow classification for scalable packet processing in NFV. 601-614 - Yaqi Zhang, Alexander Rucker, Matthew Vilim, Raghu Prabhakar, William Hwang, Kunle Olukotun:
Scalable interconnects for reconfigurable spatial architectures. 615-628 - Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
CoNDA: efficient cache coherence support for near-data accelerators. 629-642 - Bhargava Gopireddy, Josep Torrellas:
Designing vertical processors in monolithic 3D. 643-656 - Yuanbo Fan, Simone Campanoni, Russ Joseph:
Time squeezing for tiny devices. 657-670 - Dong Du, Zhichao Hua, Yubin Xia, Binyu Zang, Haibo Chen:
XPC: architectural support for secure and efficient cross process call. 671-684 - Zhenhong Liu, Amir Yazdanbakhsh, Dong Kai Wang, Hadi Esmaeilzadeh, Nam Sung Kim:
AxMemo: hardware-compiler co-design for approximate code memoization. 685-697 - Zi Yan, Daniel Lustig, David W. Nellans, Abhishek Bhattacharjee:
Translation ranger: operating system support for contiguity-aware TLBs. 698-710 - Joseph McMahan, Michael Christensen, Kyle Dewey, Ben Hardekopf, Timothy Sherwood:
Bouncer: static program analysis in hardware. 711-722 - Christos Sakalis, Stefanos Kaxiras, Alberto Ros, Alexandra Jimborean, Magnus Själander:
Efficient invisible speculative execution through selective delay and value prediction. 723-735 - Zhengrong Wang, Tony Nowatzki:
Stream-based memory access specialization for general purpose processors. 736-749 - Lluís Vilanova, Nadav Amit, Yoav Etsion:
Using SMT to accelerate nested virtualization. 750-761 - Andrea Lottarini, João Pedro Cerqueira, Thomas J. Repetti, Stephen A. Edwards, Kenneth A. Ross, Mingoo Seok, Martha A. Kim:
Master of none acceleration: a comparison of accelerator architectures for analytical query processing. 762-773 - Gyu-hyeon Lee, Dongmoon Min, Ilkwon Byun, Jangwoo Kim:
Cryogenic computer architecture modeling with memory-side case studies. 774-787 - Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen:
Cambricon-F: machine learning computers with fractal von neumann architecture. 788-801 - Mohsen Imani, Saransh Gupta, Yeseong Kim, Tajana Rosing:
FloatPIM: in-memory acceleration of deep neural network training with high precision. 802-815
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