UID:
almahu_9948367968502882
Umfang:
XVII, 556 p. 391 illus., 194 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030507435
Serie:
Theoretical Computer Science and General Issues ; 12151
Inhalt:
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.
Anmerkung:
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 eBooks
Weitere Ausg.:
Printed edition: ISBN 9783030507428
Weitere Ausg.:
Printed edition: ISBN 9783030507442
Sprache:
Englisch
DOI:
10.1007/978-3-030-50743-5
URL:
https://doi.org/10.1007/978-3-030-50743-5
