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检索条件"任意字段=17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming"
368 条 记 录,以下是201-210 订阅
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INFINEL: An efficient GPU-based processing method for unpredictable large output graph queries  24
INFINEL: An efficient GPU-based processing method for unpred...
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29th acm sigplan Annual symposium on principles and practice of parallel programming (PPoPP)
作者: Park, Sungwoo Oh, Seyeon Kim, Min-Soo Korea Adv Inst Sci & Technol Seoul South Korea GraphAI Seoul South Korea
With the introduction of GPUs, which are specialized for iterative parallel computations, the execution of computationintensive graph queries using a GPU has seen significant performance improvements. However, due to ... 详细信息
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Flattening and parallelizing irregular, recurrent loop nests  95
Flattening and parallelizing irregular, recurrent loop nests
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Proceedings of the 5th acm sigplan symposium on principles and practice of parallel programming
作者: Ghuloum, Anwar M. Fisher, Allan L. Carnegie Mellon Univ Pittsburgh PA United States
Irregular loop nests in which the loop bounds are determined dynamically by indexed arrays are difficult to compile into expressive parallel constructs, such as segmented scans and reductions. In this paper, we descri... 详细信息
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Combining phase identification and statistic modeling for automated parallel benchmark generation  2015
Combining phase identification and statistic modeling for au...
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20th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2015
作者: Jin, Ye Liu, Mingliang Ma, Xiaosong Liu, Qing Logan, Jeremy Podhorszki, Norbert Choi, Jong Youl Klasky, Scott NCSU United States QCRI Qatar Oak Ridge National Lab. United States
parallel application benchmarks are indispensable for evaluating/optimizing HPC software and hardware. However, it is very challenging and costly to obtain high-fidelity benchmarks reflecting the scale and complexity ... 详细信息
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Array operation synthesis scheme to optimize Fortran 90 programs
Array operation synthesis scheme to optimize Fortran 90 prog...
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Proceedings of the 5th acm sigplan symposium on principles and practice of parallel programming
作者: Hwang, Gwan-Hwan Lee, Jenq Kuen Ju, Dz-Ching Natl Tsing-Hua Univ Taiwan
An increasing number of programming languages, such as Fortran 90 and APL, are providing a rich set of intrinsic array functions and array expressions. these constructs which constitute an important part of data paral... 详细信息
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Griffin: Uniting CPU and GPU in Information Retrieval Systems for Intra-Query parallelism  18
Griffin: Uniting CPU and GPU in Information Retrieval System...
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23rd acm sigplan symposium on principles and practice of parallel programming (PPoPP)
作者: Liu, Yang Wang, Jianguo Swanson, Steven WDC Res Chippenham Wilts England Univ Calif San Diego San Diego CA USA
Interactive information retrieval services, such as enterprise search and document search, must provide relevant results with consistent, low response times in the face of rapidly growing data sets and query loads. th... 详细信息
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parallel programming with Big Operators
Parallel Programming with Big Operators
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18th acm sigplan symposium on principles and practice of parallel programming
作者: Park, Changhee Steele, Guy L., Jr. Tristan, Jean-Baptiste Korea Adv Inst Sci & Technol Taejon South Korea
In the sciences, it is common to use the so-called "big operator" notation to express the iteration of a binary operator (the reducer) over a collection of values. Such a notation typically assumes that the ... 详细信息
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PiPAD: Pipelined and parallel Dynamic GNN Training on GPUs  23
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
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28th acm sigplan Annual symposium on principles and practice of parallel programming, PPoPP 2023
作者: Wang, Chunyang Sun, Desen Bai, Yuebin Beihang University Beijing China
Dynamic Graph Neural Networks (DGNNs) have been widely applied in various real-life applications, such as link prediction and pandemic forecast, to capture both static structural information and temporal characteristi... 详细信息
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POSTER: Stream-K:Work-centric parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU  28
POSTER: Stream-K:Work-centric Parallel Decomposition for Den...
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28th acm sigplan Annual symposium on principles and practice of parallel programming, PPoPP 2023
作者: Osama, Muhammad Merrill, Duane Cecka, Cris Garland, Michael Owens, John D. University of California Davis United States NVIDIA Corporation
We introduce Stream-K, a work-centric parallelization of matrix multiplication (GEMM) and related computations in dense linear algebra. Whereas contemporary decompositions are primarily tile-based, our method operates... 详细信息
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SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU  19
SEP-Graph: Finding Shortest Execution Paths for Graph Proces...
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24th acm sigplan symposium on principles and practice of parallel programming (PPoPP)
作者: Wang, Hao Geng, Liang Lee, Rubao Hou, Kaixi Zhang, Yanfeng Zhang, Xiaodong Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA Northeastern Univ Dept Comp Sci & Engn Shenyang Peoples R China United Parallel Comp Corp Atlanta DE USA Virginia Tech Dept Comp Sci Blacksburg VA USA
In general, the performance of parallel graph processing is determined by three pairs of critical parameters, namely synchronous or asynchronous execution mode (Sync or Async), Push or Pull communication mechanism (Pu... 详细信息
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LoPC: modeling contention in parallel algorithms
LoPC: modeling contention in parallel algorithms
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Proceedings of the 1997 6th acm sigplan symposium on principles and practice of parallel programming
作者: Frank, Matthew I. Agarwal, Anant Vernon, Mary K. Massachusetts Inst of Technology Cambridge United States
parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. this paper introduces the LoPC model, which is inspired by the Log... 详细信息
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