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Accelerator Programming Using Directives [electronic resource] : 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings /

Contributor(s): Material type: TextTextSeries: Programming and Software Engineering ; 13194Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XIV, 149 p. 47 illus., 40 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030977597
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.45 23
LOC classification:
  • QA76.76.C65
Online resources:
Contents:
Can Fortran's `do concurrent' Replace Directives for Accelerated Computing? -- Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability -- Extending OpenMP for Machine Learning-Driven Adaptation -- GPU porting of scalable implicit solver with Green’s function-based neural networks by OpenACC -- Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading -- Accelerating quantum many-body configuration interaction with directives -- GPU offloading of a large-scale gyrokinetic particle-in-cell Fortran code: From OpenACC to OpenMP.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 8th International Workshop on Accelerator Programming Using Directives, WACCPD 2021, which took place in November 2021. The conference was held as hybrid event. 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 7 papers presented in this volume were carefully reviewed and selected from 11 submissions. They were organized in topical sections named: Directive Alternatives; Directive Extensions; and Directive Case Studies.
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Can Fortran's `do concurrent' Replace Directives for Accelerated Computing? -- Achieving near native runtime performance and cross-platform performance portability for random number generation through SYCL interoperability -- Extending OpenMP for Machine Learning-Driven Adaptation -- GPU porting of scalable implicit solver with Green’s function-based neural networks by OpenACC -- Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading -- Accelerating quantum many-body configuration interaction with directives -- GPU offloading of a large-scale gyrokinetic particle-in-cell Fortran code: From OpenACC to OpenMP.

This book constitutes the proceedings of the 8th International Workshop on Accelerator Programming Using Directives, WACCPD 2021, which took place in November 2021. The conference was held as hybrid event. 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 7 papers presented in this volume were carefully reviewed and selected from 11 submissions. They were organized in topical sections named: Directive Alternatives; Directive Extensions; and Directive Case Studies.

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