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检索条件"任意字段=Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming"
564 条 记 录,以下是51-60 订阅
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VAPRO: Performance Variance Detection and Diagnosis for Production-Run parallel Applications  22
VAPRO: Performance Variance Detection and Diagnosis for Prod...
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27th acm sigplan symposium on principles and practice of parallel programming (PPoPP)
作者: Zheng, Liyan Zhai, Jidong Tang, Xiongchao Wang, Haojie Yu, Teng Jin, Yuyang Song, Shuaiwen Leon Chen, Wenguang Tsinghua Univ Beijing Peoples R China Sangfor Technol Inc Shenzhen Guangdong Peoples R China Univ Sydney Sydney NSW Australia BNRist Beijing Peoples R China
Performance variance is a serious problem for parallel applications, which can cause performance degradation and make applications' behavior hard to understand. Therefore, detecting and diagnosing performance vari... 详细信息
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The Performance Power of Software Combining in Persistence  22
The Performance Power of Software Combining in Persistence
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27th acm sigplan symposium on principles and practice of parallel programming (PPoPP)
作者: Fatourou, Panagiota Kallimanis, Nikolaos D. Kosmas, Eleftherios Univ Paris LIPADE F-75006 Paris France Fdn Res Technol Hellas FORTH Inst Comp Sci Ilellas Greece Univ Crete Dept Comp Sci Iraklion Greece
The availability of Non-Volatile Main Memory (known as NVMM) enables the design of recoverable concurrent algorithms. We study the power of software combining in achieving recoverable synchronization and designing per... 详细信息
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High-Performance GPU-to-CPU Transpilation and Optimization via High-Level parallel Constructs  23
High-Performance GPU-to-CPU Transpilation and Optimization v...
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28th acm sigplan Annual symposium on principles and practice of parallel programming, PPoPP 2023
作者: Moses, William S. Ivanov, Ivan R. Domke, Jens Endo, Toshio Doerfert, Johannes Zinenko, Oleksandr MIT CSAIL United States Tokyo Tech Japan RIKEN Japan LLNL United States Google France
While parallelism remains the main source of performance, architectural implementations and programming models change with each new hardware generation, often leading to costly application re-engineering. Most tools f... 详细信息
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Minimizing speculation overhead in a parallel recognizer for regular texts  25
Minimizing speculation overhead in a parallel recognizer for...
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proceedings of the 30th acm sigplan Annual symposium on principles and practice of parallel programming
作者: Angelo Borsotti Luca Breveglieri Angelo Morzenti Stefano Crespi Reghizzi Politecnico di Milano Milano Italy Politecnico di Milano and CNR-IEIIT Milano Italy
Speculative data-parallel algorithms for language recognition have been widely experimented for various types of finitestate automata (FA), deterministic (DFA) and nondeterministic (NFA), often derived fromregular exp... 详细信息
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proceedings of the acm sigplan symposium on principles and practice of parallel programming, PPOPP
Proceedings of the ACM SIGPLAN Symposium on Principles and P...
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24th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2019
The proceedings contain 58 papers. The topics discussed include: beyond human-level accuracy: computational challenges in deep learning;throughput-oriented GPU memory allocation;SEP-graph: finding shortest execution p...
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Simplifying low-level GPU programming with GAS  21
Simplifying low-level GPU programming with GAS
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26th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2021
作者: Yan, Da Wang, Wei Chu, Xiaowen Hkust Hong Kong Hong Kong Baptist University Hong Kong
Many low-level optimizations for NVIDIA GPU can only be implemented in native hardware assembly (SASS). However, programming in SASS is unproductive and not portable. To simplify low-level GPU programming, we present ... 详细信息
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Magneto: Accelerating parallel Structures in DNNs via Co-Optimization of Operators  25
Magneto: Accelerating Parallel Structures in DNNs via Co-Opt...
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proceedings of the 30th acm sigplan Annual symposium on principles and practice of parallel programming
作者: Zhanyuan Di Leping Wang Ziyi Ren En Shao Jie Zhao Siyuan Feng Dingwen Tao Guangming Tan Ninghui Sun SKLP Institute of Computing Technology CAS University of Chinese Academy of Sciences SKLP Institute of Computing Technology CAS Hunan University Shanghai Jiao Tong University
Deep neural networks (DNNs) increasingly rely on parallel structures to enhance performance and efficiency. However, existing machine learning compilers (MLCs) face challenges in optimizing these structures due to lim... 详细信息
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TensorMD: Molecular Dynamics Simulation with Ab Initio Accuracy of 50 Billion Atoms  25
TensorMD: Molecular Dynamics Simulation with Ab Initio Accur...
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proceedings of the 30th acm sigplan Annual symposium on principles and practice of parallel programming
作者: Yucheng Ouyang Ying Liu Honghui Shang Zhenchuan Chen Jiahao Shan Huimin Cui Xiaobing Feng Xin Chen Xingyu Gao Lifang Wang Haifeng Song Rongfen Lin Fang Li Institute of Computing Technology Chinese Academy of Sciences Beijing China National Research Center of Parallel Computer Engineering and Technology Beijing China Institute of Applied Physics and Computational Mathematics Beijing China
Molecular dynamics simulation emerges as an important area that HPC+AI helps to investigate the physical properties, with machine-learning interatomic potentials (MLIPs) being used. General-purpose machine-learning (M... 详细信息
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Modernizing parallel code with pattern analysis  21
Modernizing parallel code with pattern analysis
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26th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2021
作者: Lozano, Roberto Castañeda Cole, Murray Franke, Björn University of Edinburgh School of Informatics Edinburgh United Kingdom
Fifty years of parallel programming has generated a substantial legacy parallel codebase, creating a new portability challenge: re-parallelizing already parallel code. Our solution exploits inherently portable paralle... 详细信息
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Scaling implicit parallelism via dynamic control replication  21
Scaling implicit parallelism via dynamic control replication
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26th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2021
作者: Bauer, Michael Lee, Wonchan Slaughter, Elliott Jia, Zhihao Di Renzo, Mario Papadakis, Manolis Shipman, Galen McCormick, Patrick Garland, Michael Aiken, Alex NVIDIA United States Slac National Accelerator Laboratory United States Carnegie Mellon University United States Sapienza University of Rome Italy Los Alamos National Laboratory United States Stanford University United States
We present dynamic control replication, a run-time program analysis that enables scalable execution of implicitly parallel programs on large machines through a distributed and efficient dynamic dependence analysis. Dy... 详细信息
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