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Titlebook: Algorithms and Architectures for Parallel Processing; 20th International C Meikang Qiu Conference proceedings 2020 Springer Nature Switzerl

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期刊全称Algorithms and Architectures for Parallel Processing
期刊简称20th International C
影响因子2023Meikang Qiu
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Algorithms and Architectures for Parallel Processing; 20th International C Meikang Qiu Conference proceedings 2020 Springer Nature Switzerl
影响因子This three-volume set LNCS 12452, 12453, and 12454 constitutes the proceedings of the 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020..The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions..ICA3PP is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of computing systems and applications. ICA3PP 2020 focus on two broadareas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications..
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Tabellen zum Bestimmen der Arten,ve faster convergence rate than traditional optimization algorithms such as Adam and AdaMod, and the generalization performance and stability of the PID-GD-BLS are much better than that of BLS and its variants. This study provides a new direction for BLS optimization and a better solution for BLS-based data mining.
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https://doi.org/10.1007/978-3-642-91857-5ase. The results reveal that both parallelism methods provide performance gains. Also they indicate that our algorithm is up to 63x faster than its serial counterpart and behaves well as the workload is increased.
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Accelerating Pattern Matching on Intel Xeon Phi Processorsase. The results reveal that both parallelism methods provide performance gains. Also they indicate that our algorithm is up to 63x faster than its serial counterpart and behaves well as the workload is increased.
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0302-9743 ectures for Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020..The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions..ICA3PP is covering the many dimensions of parallel algorithms and a
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