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Record Nr. |
UNINA9910410054203321 |
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Titolo |
High Performance Computing [[electronic resource] ] : 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings / / edited by Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (563 pages) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 12151 |
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Disciplina |
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Soggetti |
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Software engineering |
Computer engineering |
Computer networks |
Computers |
Artificial intelligence |
Software Engineering |
Computer Engineering and Networks |
Computer Hardware |
Computer Communication Networks |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Architectures, Networks & Infrastructure -- Artificial Intelligence and Machine Learning -- Data, Storage & Visualization -- Emerging Technologies -- HPC Algorithms -- HPC Applications -- Performance Modeling & Measurement -- Programming Models & Systems Software. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial |
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intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
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