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Titlebook: Parallel Processing and Applied Mathematics; 14th International C Roman Wyrzykowski,Jack Dongarra,Konrad Karczewski Conference proceedings

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發(fā)表于 2025-3-21 18:25:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Parallel Processing and Applied Mathematics
副標(biāo)題14th International C
編輯Roman Wyrzykowski,Jack Dongarra,Konrad Karczewski
視頻videohttp://file.papertrans.cn/742/741019/741019.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Parallel Processing and Applied Mathematics; 14th International C Roman Wyrzykowski,Jack Dongarra,Konrad Karczewski Conference proceedings
描述This two-volume set, LNCS 13826 and LNCS 13827, constitutes the proceedings of the?14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022, held in Gdansk, Poland, in September 2022..The 77 regular papers presented in these volumes were selected from 132 submissions. For regular tracks of the conference, 33 papers were selected from 62 submissions..The papers were organized in topical sections named as follows:.Part I:?numerical algorithms and parallel scientific computing;?parallel non-numerical algorithms;?GPU computing;?performance analysis and prediction in HPC systems;?scheduling for parallel computing;?environments and frameworks for parallel/cloud computing;?applications of parallel and distributed computing;?soft computing with applications and special session on parallel EVD/SVD and its application in matrix computations..Part II:?9th Workshop on Language-Based Parallel Programming (WLPP 2022);?6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2022);?first workshop on quantum computing and communication;?First Workshop on Applications of Machine Learning and Artificial Intelligence in High
出版日期Conference proceedings 2023
關(guān)鍵詞distributed computer systems; artificial intelligence; parallel algorithms; signal processing; program c
版次1
doihttps://doi.org/10.1007/978-3-031-30442-2
isbn_softcover978-3-031-30441-5
isbn_ebook978-3-031-30442-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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RDBMS Speculative Support Improvement by?the?Use of?the?Query Hypergraph Representationhe speculative and user input queries has been employed to better organize the use of the speculative query results in the stream of input user queries of a RDBMS. The advantages of the proposed approach are positively assessed based on the experiments with the simulated execution of the testbed sets of queries.
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Venelin Todorov,Ivan Dimov,Maria Ganzha,Marcin Paprzyckin the output of a tool developed for the detection of air bubbles in fluid pathways called the “Optical Bubble Detection Tool”. Experience gained from the earlier studies has provided the required knowledge for developing a design which is less susceptible to external disturbances. The dynamic excit
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Zhihui Du,Sen Zhang,David A. Badersungen und Fragen am Kapitelende. Neu in dieser Auflage ist ein eigenes Kapitel zur Evolutions?kologie. Alle anderen Kapitel – insbesondere die zu den angewandte Aspekten – wurden intensiv überarbeitet und hunderte neue Beispiele aufgenommen..Klar und einfach erkl?rt in diesem Buch..978-3-540-95897-0Series ISSN 0937-7433 Series E-ISSN 2512-5214
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Severin Reiz,Tobias Neckel,Hans-Joachim Bungartzsungen und Fragen am Kapitelende. Neu in dieser Auflage ist ein eigenes Kapitel zur Evolutions?kologie. Alle anderen Kapitel – insbesondere die zu den angewandte Aspekten – wurden intensiv überarbeitet und hunderte neue Beispiele aufgenommen..Klar und einfach erkl?rt in diesem Buch..978-3-540-95897-0Series ISSN 0937-7433 Series E-ISSN 2512-5214
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Compact In-Memory Representation of?Decision Trees in?GPU-Accelerated Evolutionary Induction all DT levels would be completely filled, no matter if all nodes actually exist. Experimental validation is performed on real-life and artificial datasets with various sizes and dimensions. Results show that by using the compact representation not only the memory requirements are reduced but also the time of induction is decreased.
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