The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: synchronization and data; tasking expansions; applications; case studies; and heterogenous computing and memory.
Chapter ‘FOTV: A Generic Device Offloading Framework for OpenMP’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: synchronization and data; tasking expansions; applications; case studies; and heterogenous computing and memory.
Chapter ‘FOTV: A Generic Device Offloading Framework for OpenMP’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
OpenMP: Enabling Massive Node-Level Parallelism: 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14-16, 2021, Proceedings
228
OpenMP: Enabling Massive Node-Level Parallelism: 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14-16, 2021, Proceedings
228Paperback(1st ed. 2021)
Product Details
| ISBN-13: | 9783030852610 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 08/14/2021 |
| Series: | Lecture Notes in Computer Science , #12870 |
| Edition description: | 1st ed. 2021 |
| Pages: | 228 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |