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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.

Contributor(s): Sadayappan, Ponnuswamy [editor.] | Chamberlain, Bradford L [editor.] | Juckeland, Guido [editor.] | Ltaief, Hatem [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 12151Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XVII, 556 p. 391 illus., 194 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030507435.Subject(s): Software engineering | Computer engineering | Computer networks  | Computers | Artificial intelligence | Software Engineering | Computer Engineering and Networks | Computer Hardware | Computer Communication Networks | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
Contents:
Architectures, Networks & Infrastructure -- Artificial Intelligence and Machine Learning -- Data, Storage & Visualization -- Emerging Technologies -- HPC Algorithms -- HPC Applications -- Performance Modeling & Measurement -- Programming Models & Systems Software.
In: Springer Nature eBookSummary: 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 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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Architectures, Networks & Infrastructure -- Artificial Intelligence and Machine Learning -- Data, Storage & Visualization -- Emerging Technologies -- HPC Algorithms -- HPC Applications -- Performance Modeling & Measurement -- Programming Models & Systems Software.

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 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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