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Titlebook: High Performance Computing. ISC High Performance 2022 International Workshops; Hamburg, Germany, Ma Hartwig Anzt,Amanda Bienz,Marc Baboulin

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书目名称High Performance Computing. ISC High Performance 2022 International Workshops
副标题Hamburg, Germany, Ma
编辑Hartwig Anzt,Amanda Bienz,Marc Baboulin
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: High Performance Computing. ISC High Performance 2022 International Workshops; Hamburg, Germany, Ma Hartwig Anzt,Amanda Bienz,Marc Baboulin
描述This book constitutes the refereed conference proceedings of the workshops held at the 37th International ISC High Performance 2022 Conference, in Hamburg, Germany, in June 2, 2022..The 27 full papers were included in this book were carefully reviewed and selected from 43 submissions. .ISC High Performance 2022 presents the following workshops:.Compiler-assisted Correctness Checking and Performance Optimization for HPC.HPC on Heterogeneous Hardware (H3).Malleability Techniques Applications in High Performance Computing.Fifth Workshop on Interactive High Performance Computing.3rd ISC HPC International Workshop on Monitoring & Operational Data Analytics.6th International Workshop on In Situ Visualization.17th Workshop on Virtualization in High Performance Cloud Computing.Chapter “Compiler-Assisted Instrumentation Selection for Large-Scale C++ Codes” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
出版日期Conference proceedings 2022
关键词analysis and design of emerging devices and systems; cloud computing; computer networks; computer progr
版次1
doihttps://doi.org/10.1007/978-3-031-23220-6
isbn_softcover978-3-031-23219-0
isbn_ebook978-3-031-23220-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
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ities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis..
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Jan Fecht,Martin Schreiber,Martin Schulz,Howard Pritchard,Daniel J. Holmesed: a greedy hill-climb search and a search method based on evolutionary computing. The performance comparison of these two methods for network structure discovery shows a large increase in classification accuracy with the GA-evolved BN as measured by the area under the curve of the Receiver Operating Characteristic curve.
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Performance Analysis of Matrix Multiplication for Deep Learning on the Edgemount of data transfers across the memory hierarchy of different algorithmic variants of the kernel. A small collection of experiments provide the necessary data to calibrate the simulator and deliver highly accurate estimations of the execution time for a given processor architecture.
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