株式会社極東書店トップ ＞ 商品一覧 ＞ High Performance Computing: ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers. 1st ed. 2021
商品詳細
High Performance Computing: ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers. 1st ed. 2021
・ISBN 978-3-030-90538-5 paper EUR 99.99
￥26,726.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Jagode, Heike / Anzt, Hartwig / Ltaief, Hatem / Luszczek, Piotr (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2021 |
| ページ数 | 515 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-76789＞ |
解説
This book constitutes the refereed post-conference proceedings of 9 workshops held at the 35th International ISC High Performance 2021 Conference, in Frankfurt, Germany, in June-July 2021:
Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis; HPC-IODC: HPC I/O in the Data Center Workshop; Compiler-assisted Correctness Checking and Performance Optimization for HPC; Machine Learning on HPC Systems;4th International Workshop on Interoperability of Supercomputing and Cloud Technologies;2nd International Workshop on Monitoring and Operational Data Analytics;16th Workshop on Virtualization in High--Performance Cloud Computing; Deep Learning on Supercomputers; 5th International Workshop on In Situ Visualization.
The 35 papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale,high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware, programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.
Chapter "Machine-Learning-Based Control of Perturbed and Heated Channel Flows" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.