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检索条件"任意字段=2024 International Symposium on Computer Architecture and High Performance Computing Workshops"
5225 条 记 录,以下是321-330 订阅
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uSystolic: Byte-Crawling Unary Systolic Array  28
uSystolic: Byte-Crawling Unary Systolic Array
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28th Annual IEEE international symposium on high-performance computer architecture (HPCA)
作者: Di Wu San Miguel, Joshua Univ Wisconsin Dept ECE Madison WI 53706 USA
General matrix multiply (GEMM) is an important operation in broad applications, especially the thriving deep neural networks. To achieve low power consumption for GEMM, researchers have already leveraged unary computi... 详细信息
来源: 评论
computing seismic attributes with deep-learning models  35
Computing seismic attributes with deep-learning models
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35th IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)
作者: Hecker, Nicolas Napoli, Otavio O. Astudillo, Carlos A. Navarro, Joao Paulo Souza, Alan Miranda, Daniel Villas, Leandro A. Borin, Edson Univ Estadual Campinas UNICAMP Ctr Estudos Energia & Petr CEPETRO Campinas Brazil Univ Estadual Campinas UNICAMP Inst Comp IC Campinas Brazil NVIDIA Sao Paulo Brazil Petr Brasileiro SA PETROBRAS Rio De Janeiro Brazil
Seismic data contains valuable information about the Earth's subsurface, which is useful in oil and gas (O&G) exploration. Seismic attributes are derived from seismic data to highlight relevant data structures... 详细信息
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Deriving a Methodology for Code Deployment on Multi-Core Platforms via Iterative Manual Optimizations
Deriving a Methodology for Code Deployment on Multi-Core Pla...
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26th IEEE international Parallel and Distributed Processing symposium (IPDPS) / Workshop on high performance Data Intensive computing
作者: McCool, Stuart Milligan, Peter Sage, Paul Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast Antrim North Ireland
In recent years, there has been what can only be described as an explosion in the types of processing devices one can expect to find within a given computer system. These include the multi-core CPU, the General Purpos... 详细信息
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Local discovery of system architecture - Application parameter sensitivity: An empirical technique for adaptive grid applications  11
Local discovery of system architecture - Application paramet...
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11th IEEE international symposium on high performance Distributed computing (HPDC-11)
作者: Corey, IR Johnson, JR Vetter, JS Lawrence Livermore Natl Lab Comp Applicat & Res Dept Livermore CA USA
This study presents a technique that can significantly improve the performance of a distributed application by allowing the application to locally adapt to architectural characteristics of distinct resources in a dist... 详细信息
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Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge computing  31
Monte-Carlo Tree Search and Reinforcement Learning for Recon...
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31st international symposium on computer architecture and high performance computing (SBAC-PAD)
作者: Veith, Alexandre da Silva de Assuncao, Marcos Dias Lefevre, Laurent Claude Bernard Univ Lyon 1 Univ Lyon ENS Lyon CNRSInriaParallel Comp Lab LIP F-69342 Lyon 07 France
Distributed Stream Processing (DSP) applications are increasingly used in new pervasive services that process enormous amounts of data in a seamless and near real-time fashion. Edge computing has emerged as a means to... 详细信息
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Retrospective: A Look Back at 20+Years of Experience in Parallel computing Education  34
Retrospective: A Look Back at 20+Years of Experience in Para...
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34th IEEE international Parallel and Distributed Processing symposium (IPDPS)
作者: Adams, Joel C. Calvin Univ Dept Comp Sci Grand Rapids MI 49546 USA
The author has been teaching parallel computing since the late 1990s. This paper provides a brief history of some of the key experiences in his journey as a parallel computing educator, including formative faculty dev... 详细信息
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RAID-x: A new distributed disk array for I/O-centric cluster computing  9
RAID-x: A new distributed disk array for I/O-centric cluster...
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9th IEEE international symposium on high performance Distributed computing
作者: Hwang, K Jin, H Ho, R Univ So Calif Los Angeles CA 90089 USA
A new RAID-x (redundant array of inexpensive disks at level x) architecture is presented for distributed I/O processing on a serverless cluster of computers. The RAID-x architecture is based on a new concept of orthog... 详细信息
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A speculative trace reuse architecture with reduced hardware requirements
A speculative trace reuse architecture with reduced hardware...
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18th international symposium on computer architecture and high performance computing
作者: Pilla, Mauricio L. Childers, Bruce R. da Costa, Amarildo T. Franca, Felipe M. G. Navaux, Philippe O. A. Univ Catolica Pelotas Sch Comp Sci Pelotas Brazil Univ Pittsburgh Dept Comp Sci Pittsburgh PA 15260 USA IME Rio De Janeiro Brazil COPPE UFRJ Rio De Janeiro Brazil Univ Fed Rio Grande do Sul Inst Comp Sci Porto Alegre RS Brazil
Trace reuse is an effective way of improving the performance of superscalar processors by skipping the execution of a sequence of instructions with known input and output values. However, the extra hardware complexity... 详细信息
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Evaluating GPU Passthrough in Xen for high performance Cloud computing  28
Evaluating GPU Passthrough in Xen for High Performance Cloud...
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28th IEEE international Parallel & Distributed Processing symposium workshops (IPDPSW)
作者: Younge, Andrew J. Walters, John Paul Crago, Stephen Fox, Geoffrey C. Indiana Univ Pervas Technol Inst 2719 E 10th St Bloomington IN 47408 USA Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA
With the advent of virtualization and Infrastructure-as-a-Service (IaaS), the broader scientific computing community is considering the use of clouds for their technical computing needs. This is due to the relative sc... 详细信息
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Enabling microservices management for Deep Learning applications across the Edge-Cloud Continuum  33
Enabling microservices management for Deep Learning applicat...
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33rd IEEE international symposium on computer architecture and high performance computing (SBAC-PAD)
作者: Houmani, Zeina Balouek-Thomert, Daniel Caron, Eddy Parashar, Manish Univ Lyon Inria Avalon Team LIP Lab UMR CNRS ENS Lyon Lyon France Univ Utah Sci Comp Imaging SCI Inst Salt Lake City UT 84112 USA
Deep Learning has shifted the focus of traditional batch workflows to data-driven feature engineering on streaming data. In particular, the execution of Deep Learning workflows presents expectations of near-real-time ... 详细信息
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