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ICS 2021: Virtual Event, USA
- Huiyang Zhou, Jose Moreira, Frank Mueller, Yoav Etsion:
ICS '21: 2021 International Conference on Supercomputing, Virtual Event, USA, June 14-17, 2021. ACM 2021, ISBN 978-1-4503-8335-6
Loop optimizations
- Brandon Neth, Thomas R. W. Scogland, Bronis R. de Supinski, Michelle Mills Strout:
Inter-loop optimization in RAJA using loop chains. 1-12 - Khaled Abdelaal, Martin Kong
:
Tile size selection of affine programs for GPGPUs using polyhedral cross-compilation. 13-26 - Kumudha Narasimhan
A practical tile size selection model for affine loop nests. 27-39
Program analysis and benchmarking
- Wenwen Wang, Pei-Hung Lin
Does it matter?: OMPSanitizer: an impact analyzer of reported data races in OpenMP programs. 40-51 - Xin Zhao, Jin Zhou, Hui Guan, Wei Wang
NumaPerf: predictive NUMA profiling. 52-62 - Alexandros Nikolaos Ziogas
NPBench: a benchmarking suite for high-performance NumPy. 63-74 - Xiaofan Sun, Rajiv Gupta
DSGEN: concolic testing GPU implementations of concurrent dynamic data structures. 75-87
Managing parallelism
- Seonmyeong Bak, Oscar R. Hernandez, Mark Gates
Task-graph scheduling extensions for efficient synchronization and communication. 88-101 - Amirhossein Mirhosseini, Thomas F. Wenisch:
μSteal: a theory-backed framework for preemptive work and resource stealing in mixed-criticality microservices. 102-114 - Hongshi Tan, Xinyu Chen, Yao Chen
ThundeRiNG: generating multiple independent random number sequences on FPGAs. 115-126
Resilience and security
- Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao
FT-BLAS: a high performance BLAS implementation with online fault tolerance. 127-138 - Shougang Yuan, Yan Solihin, Huiyang Zhou:
PSSM: achieving secure memory for GPUs with partitioned and sectored security metadata. 139-151
New architectures for HPC
- Yaoyang Zhou, Zihao Yu, Chuanqi Zhang, Yinan Xu, Huizhe Wang, Sa Wang, Ninghui Sun, Yungang Bao:
Omegaflow: a high-performance dependency-based architecture. 152-163 - Adrián Barredo, Adrià Armejach, Jonathan C. Beard, Miquel Moretó
PLANAR: a programmable accelerator for near-memory data rearrangement. 164-176 - Markos Kynigos, Jose Antonio Pascual, Javier Navaridas
Power and energy efficient routing for Mach-Zehnder interferometer based photonic switches. 177-189
Exploiting non-volatile memory
- Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li
Athena: high-performance sparse tensor contraction sequence on heterogeneous memory. 190-202 - Jie Ren
Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy. 203-214 - Zhen Xie, Wenqian Dong
MD-HM: memoization-based molecular dynamics simulations on big memory system. 215-226
Machine learning
- Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li:
Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. 227-241 - Yuliana Zamora, Logan T. Ward, Ganesh Sivaraman
Proxima: accelerating the integration of machine learning in atomistic simulations. 242-253 - Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Partitioning sparse deep neural networks for scalable training and inference. 254-265 - Chengming Zhang, Geng Yuan, Wei Niu
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. 266-278 - Rohan Baskar Prabhakar, Sachit Kuhar, Rohit Agrawal, Christopher J. Hughes
SumMerge: an efficient algorithm and implementation for weight repetition-aware DNN inference. 279-290 - MohammadHossein Olyaiy, Christopher Ng, Mieszko Lis:
Accelerating DNNs inference with predictive layer fusion. 291-303 - Siling Yang
AUTO-PRUNE: automated DNN pruning and mapping for ReRAM-based accelerator. 304-315
Data locality and vectorization
- Peng Chen
Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. 316-328 - Doru-Thom Popovici, Andrew Canning, Zhengji Zhao, Lin-Wang Wang, John Shalf
A systematic approach to improving data locality across Fourier transforms and linear algebra operations. 329-341
Algorithms adapting to high-performance networks
- Archit Patke, Saurabh Jha, Haoran Qiu
Delay sensitivity-driven congestion mitigation for HPC systems. 342-353 - Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. 354-366
Graph data structures and algorithms
- Xuan Huang
Distributed merge forest: a new fast and scalable approach for topological analysis at scale. 367-377 - Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: a two-level framework for efficient graph pattern mining. 378-391
Parallelization constrained by data dependencies
- Akshay Bhosale
On the automatic parallelization of subscripted subscript patterns using array property analysis. 392-403 - Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi:
ALTO: adaptive linearized storage of sparse tensors. 404-416 - Ming Dun, Yunchun Li, Hailong Yang, Qingxiao Sun, Zhongzhi Luan, Depei Qian:
An optimized tensor completion library for multiple GPUs. 417-430 - Oguz Selvitopi, Benjamin Brock, Israt Nisa, Alok Tripathy, Katherine A. Yelick
Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. 431-442
Best paper candidates
- Chen Zhang
HyQuas: hybrid partitioner based quantum circuit simulation system on GPU. 443-454 - Thomas Randall
FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems. 455-466 - Nader Al Awar, Steven Zhu, George Biros, Milos Gligoric:
A performance portability framework for Python. 467-478 - Mazen Al-Wadi, Aziz Mohaisen
ProMT: optimizing integrity tree updates for write-intensive pages in secure NVMs. 479-490
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