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检索条件"任意字段=2nd International Symposium on Parallel and Distributed Processing and Applications"
1711 条 记 录,以下是321-330 订阅
排序:
Implicit Decomposition for Write-Efficient Connectivity Algorithms  32
Implicit Decomposition for Write-Efficient Connectivity Algo...
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27th international Heterogeneity in Computing Workshop in conjunction with 32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Ben-David, Naama Blelloch, Guy E. Fineman, Jeremy T. Gibbons, Phillip B. Gu, Yan McGuffey, Charles Shun, Julian Carnegie Mellon Univ Pittsburgh PA 15213 USA Georgetown Univ Washington DC 20057 USA MIT CSAIL Cambridge MA 02139 USA
The future of main memory appears to lie in the direction of new technologies that provide strong capacity-toperformance ratios, but have write operations that are much more expensive than reads in terms of latency, b... 详细信息
来源: 评论
Communication-free Massively distributed Graph Generation  32
Communication-free Massively Distributed Graph Generation
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27th international Heterogeneity in Computing Workshop in conjunction with 32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Funke, Daniel Lamm, Sebastian Sanders, Peter Schulz, Christian Strash, Darren von Looz, Moritz Karlsruhe Inst Technol Karlsruhe Germany Univ Vienna Vienna Austria Colgate Univ New York NY USA
Analyzing massive complex networks yields promising insights about our everyday lives. Building scalable algorithms to do so is a challenging task that requires a careful analysis and an extensive evaluation. However,... 详细信息
来源: 评论
Scheduling parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling  32
Scheduling Parallel Tasks under Multiple Resources: List Sch...
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32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Sun, Hongyang Elghazi, Redouane Gainaru, Ana Aupy, Guillaume Raghavan, Padma Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA Ecole Normale Super Lyon Lyon France Univ Bordeaux INRIA LaBRI CNRSBordeaux INP Talence France
Scheduling in High-Performance Computing (HPC) has been traditionally centered around computing resources (e.g., processors/cores). The ever-growing amount of data produced by modern scientific applications start to d... 详细信息
来源: 评论
Intra-Cluster Coalescing to Reduce GPU NoC Pressure  32
Intra-Cluster Coalescing to Reduce GPU NoC Pressure
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32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Wang, Lu Zhao, Xia Kaeli, David Wang, Zhiying Eeckhout, Lieven Univ Ghent Ghent Belgium Northeastern Univ Boston MA 02115 USA Natl Univ Def Technol Changsha Hunan Peoples R China
GPUs continue to increase the number of streaming multiprocessors (SMs) to provide increasingly higher compute capabilities. To construct a scalable crossbar network-on-chip (NoC) that connects the SMs to the memory c... 详细信息
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MAX-PolyMem: High-Bandwidth Polymorphic parallel Memories for DFEs  32
MAX-PolyMem: High-Bandwidth Polymorphic Parallel Memories fo...
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32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Ciobanu, Catalin Bogdan Stramondo, Giulio de Laat, Cees Varbanescu, Ana Lucia Univ Amsterdam Informat Inst Amsterdam Netherlands
Memory bandwidth is critical for many modern applications and architectures. parallel memories should alleviate this problem, but they are difficult to design and implement for non-trivial access patterns. Our work ad... 详细信息
来源: 评论
A Study of Network Quality of Service in Many-Core MPI applications  32
A Study of Network Quality of Service in Many-Core MPI Appli...
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32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Savoie, Lee Lowenthal, David K. de Supinski, Bronis R. Mohror, Kathryn Univ Arizona Dept Comp Sci Tucson AZ 85721 USA Lawrence Livermore Natl Lab Lawrence CA USA
Network contention in existing high performance computing (HPC) systems increases job execution time and reduces machine throughput. This problem is expected to become worse in future systems as core counts increase a... 详细信息
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Tensile: Auto-tuning GEMM GPU Assembly for All Problem Sizes  32
Tensile: Auto-tuning GEMM GPU Assembly for All Problem Sizes
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27th international Heterogeneity in Computing Workshop in conjunction with 32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Tanner, David E. Adv Micro Devices Inc Austin TX 78735 USA
Generic matrix matrix multiplication (GEMM) on graphics processors (GPU) has long been the target of both tuning to find a fastest kernel for a GPU and hand-written assembly to achieve highest possible efficiency. Ten... 详细信息
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On the Cost of Cloud-Assistance in Tree-Structured P2P Live Streaming  32
On the Cost of Cloud-Assistance in Tree-Structured P2P Live ...
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32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Fujita, Satoshi Hiroshima Univ Dept Informat Engn Higashihiroshima 7398527 Japan
Consider a cloud-assisted Peer-to-Peer (P2P) video streaming system, in which a given video stream of a unit bit rate is divided into several stripes and is delivered to all subscribing peers through different spannin... 详细信息
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BitFlow: Exploiting Vector parallelism for Binary Neural Networks on CPU  32
BitFlow: Exploiting Vector Parallelism for Binary Neural Net...
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27th international Heterogeneity in Computing Workshop in conjunction with 32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Hu, Yuwei Zhai, Jidong Li, Dinghua Gong, Yifan Zhu, Yuhao Liu, Wei Su, Lei Jin, Jiangming TuSimple Inc Beijing Peoples R China Tsinghua Univ Dept Comp Sci Beijing Peoples R China Univ Rochester Dept Comp Sci Rochester NY 14627 USA
Deep learning has revolutionized computer vision and other fields since its big bang in 2012. However, it is challenging to deploy Deep Neural Networks (DNNs) into real-world applications due to their high computation... 详细信息
来源: 评论
A Fast and Massively-parallel Inverse Solver for Multiple-Scattering Tomographic Image Reconstruction  32
A Fast and Massively-Parallel Inverse Solver for Multiple-Sc...
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32nd IEEE international parallel and distributed processing symposium (IPDPS)
作者: Hidayetoglu, Mert Pearson, Carl El Hajj, Izzat Gurel, Levent Chew, Weng Cho Hwu, Wen-mei Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA
We present a massively-parallel solver for large Helmholtz-type inverse scattering problems. The solver employs the distorted Born iterative method for capturing the multiple-scattering phenomena in image reconstructi... 详细信息
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