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Accelerator Programming Using Directives: 7th International Workshop, WACCPD 2020, Virtual Event, November 20, 2020, Proceedings 1st ed. 2021 [Pehme köide]

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  • Formaat: Paperback / softback, 103 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 38 Illustrations, color; 4 Illustrations, black and white; IX, 103 p. 42 illus., 38 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 12655
  • Ilmumisaeg: 17-Apr-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030742237
  • ISBN-13: 9783030742232
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Accelerator Programming Using Directives: 7th International Workshop, WACCPD 2020, Virtual Event, November 20, 2020, Proceedings 1st ed. 2021Suurem pilt
  • Formaat: Paperback / softback, 103 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 38 Illustrations, color; 4 Illustrations, black and white; IX, 103 p. 42 illus., 38 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 12655
  • Ilmumisaeg: 17-Apr-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030742237
  • ISBN-13: 9783030742232
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030742232.html
Märksõnad:
This book constitutes the proceedings of the 7th International Workshop on Accelerator Programming Using Directives, WACCPD 2020, which took place on November 20, 2021. The workshop was initially planned to take place in Atlanta, GA, USA, and changed to an online format due to the COVID-19 pandemic.

WACCPD is one of the major forums for bringing together users, developers, and the software and tools community to share knowledge and experiences when programming emerging complex parallel computing systems. The 5 papers presented in this volume were carefully reviewed and selected from 7 submissions. They were organized in topical sections named: OpenMP; OpenACC; and Domain-specific Solvers.

Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs using the Roofline Methodology.- Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs.- GPU acceleration of the FINE/FR CFD solver in a heterogeneous environment with OpenACC directives.- Performance and Portability of a Linear Solver Across Emerging Architectures.- ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems.