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Titlebook: Parallel Processing and Applied Mathematics; 12th International C Roman Wyrzykowski,Jack Dongarra,Konrad Karczewski Conference proceedings

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書目名稱Parallel Processing and Applied Mathematics
副標題12th International C
編輯Roman Wyrzykowski,Jack Dongarra,Konrad Karczewski
視頻videohttp://file.papertrans.cn/742/741024/741024.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Parallel Processing and Applied Mathematics; 12th International C Roman Wyrzykowski,Jack Dongarra,Konrad Karczewski Conference proceedings
描述.The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017..The 49 regular papers presented in the proceedings were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions. .The papers were organized in topical sections named as follows:.Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations..Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); wor
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; cloud computing; computer systems; energy efficiency; genetic algorithms; hardwa
版次1
doihttps://doi.org/10.1007/978-3-319-78054-2
isbn_softcover978-3-319-78053-5
isbn_ebook978-3-319-78054-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Efficiency Analysis of Intel, AMD and Nvidia 64-Bit Hardware for?Memory-Bound Problems: A Case Study of Ab Initio Calculations with VASPrhaps the most popular tool for these research. In this work, we discuss the benchmark metric and results based on a VASP test model that give us the possibility to compare different hardware and to distinguish the best options with respect to energy-to-solution criterion.
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Performance and Energy Analysis of?Scientific Workloads Executing on?LPSoCsrmance and energy measurements are presented for different types of workloads on the NVIDIA Tegra TK1 and Tegra TX1 systems at varying frequencies. From these results, we provide insights on how to develop a model to predict energy usage at different frequencies for general workloads.
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Fair Scheduling in Grid VOs with?Anticipation Heuristicates scheduling optimization. In order to improve overall scheduling efficiency we propose a heuristic anticipation approach. It generates a reference, most likely infeasible, scheduling solution. A special replication procedure performs a feasible solution with a minimum distance to a reference alternative under given metrics.
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Evaluation of HCM: A New Model to Predict the Execution Time of Regular Parallel Applications on a Heterogeneous Clusters some modifications to the original model, as well as evaluate it on a heterogeneous cluster environment. The results have show that the worst error in the estimations of the parallel execution time was about 12.7%, and, in many cases, the estimated execution time is equal to or very close to the actual one.
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