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检索条件"任意字段=20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2015"
39 条 记 录,以下是11-20 订阅
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parallel Determinacy Race Detection for Futures  20
Parallel Determinacy Race Detection for Futures
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Xu, Yifan Singer, Kyle Lee, I-Ting Angelina Washington Univ St Louis St Louis MO 63130 USA
the use of futures can generate arbitrary dependences in the computation, making it difficult to detect races efficiently. Algorithms proposed by priorwork to detect races on programs with futures all have to execute ...
来源: 评论
A parallel algorithm for global states enumeration in concurrent systems  2015
A parallel algorithm for global states enumeration in concur...
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20th acm sigplan symposium on principles and practice of parallel programming, ppopp 2015
作者: Chang, Yen-Jung Garg, Vijay K. Department of Electrical and Computer Engineering University of Texas Austin United States
Verifying the correctness of the executions of a concurrent program is difficult because of its nondeterministic behavior. One of the verification methods is predicate detection, which predicts whether the user specif... 详细信息
来源: 评论
A parallel Sparse Tensor Benchmark Suite on CPUs and GPUs  20
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Li, Jiajia Lakshminarasimhan, Mahesh Wu, Xiaolong Li, Ang Olschanowsky, Catherine Barker, Kevin Pacific Northwest Natl Lab Richland WA 99352 USA Univ Utah Salt Lake City UT USA Purdue Univ W Lafayette IN 47907 USA Boise State Univ Boise ID 83725 USA
Tensor computations present significant performance challenges that impact a wide spectrum of applications. Efforts on improving the performance of tensor computations include exploring data layout, execution scheduli... 详细信息
来源: 评论
Barrier elision for production parallel programs  2015
Barrier elision for production parallel programs
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20th acm sigplan symposium on principles and practice of parallel programming, ppopp 2015
作者: Chabbi, Milind Lavrijsen, Wim De Jong, Wibe Sen, Koushik Mellor-Crummey, John Iancu, Costin Rice University United States Lawrence Berkeley National Laboratory United States UC Berkeley United States
Large scientific code bases are often composed of several layers of runtime libraries, implemented in multiple programming languages. In such situation, programmers often choose conservative synchronization patterns l... 详细信息
来源: 评论
XIndex: A Scalable Learned Index for Multicore Data Storage  20
XIndex: A Scalable Learned Index for Multicore Data Storage
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Tang, Chuzhe Wang, Youyun Dong, Zhiyuan Hu, Gansen Wang, Zhaoguo Wang, Minjie Chen, Haibo Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Scalable Comp & Syst Shanghai Peoples R China NYU Dept Comp Sci New York NY 10003 USA
We present XIndex, a concurrent ordered index designed for fast queries. Similar to a recent proposal of the learned index, XIndex uses learned models to optimize index efficiency. Comparing with the learned index, XI... 详细信息
来源: 评论
Cache-oblivious wavefront: Improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency  2015
Cache-oblivious wavefront: Improving parallelism of recursiv...
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20th acm sigplan symposium on principles and practice of parallel programming, ppopp 2015
作者: Tang, Yuan You, Ronghui Kan, Haibin Tithi, Jesmin Jahan Ganapathi, Pramod Chowdhury, Rezaul A. Software School School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Shanghai China Department of Computer Science Stony Brook University Stony BrookNY11790 United States
State-of-the-art cache-oblivious parallel algorithms for dynamic programming (DP) problems usually guarantee asymptotically optimal cache performance without any tuning of cache parameters, but they often fail to expl... 详细信息
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Scaling Out Speculative Execution of Finite-State Machines with parallel Merge  20
Scaling Out Speculative Execution of Finite-State Machines w...
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Xia, Yang Jiang, Peng Agrawal, Gagan Ohio State Univ Columbus OH 43210 USA Univ Iowa Iowa City IA USA
A finite-state machine (FSM) is a key component for many important applications, such as Huffman decoding, regular expression matching and HTML tokenization. Due to its inherent dependencies and unpredictable memory a... 详细信息
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No Barrier in the Road: A Comprehensive Study and Optimization of ARM Barriers  20
No Barrier in the Road: A Comprehensive Study and Optimizati...
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Liu, Nian Zang, Binyu Chen, Haibo Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Scalable Comp & Syst Shanghai Peoples R China
In this paper, we present the first comprehensive performance characterization and optimization of ARM barriers on both mobile and server platforms. We draw a set of observations through several abstracted models and ... 详细信息
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Practical parallel Hypergraph Algorithms  20
Practical Parallel Hypergraph Algorithms
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Shun, Julian MIT CSAIL Cambridge MA 02139 USA
While there has been significant work on parallel graph processing, there has been very surprisingly little work on high-performance hypergraph processing. this paper presents a collection of efficient parallel algori... 详细信息
来源: 评论
Using Sample-Based Time Series Data for Automated Diagnosis of Scalability Losses in parallel Programs  20
Using Sample-Based Time Series Data for Automated Diagnosis ...
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25th acm sigplan symposium on principles and practice of parallel programming (ppopp)
作者: Wei, Lai Mellor-Crummey, John Rice Univ Dept Comp Sci Houston TX 77005 USA Rice Univ Houston TX USA Pony Ai Fremont CA USA
the performance of many parallel applications has failed to scale as fast as successive generations of hardware on which these applications execute. To understand the cause of scalability losses, experts use performan... 详细信息
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