Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings
Author:   Sridutt Bhalachandra ,  Christopher Daley ,  Verónica Melesse Vergara
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   13194
ISBN:  

9783030977580


Pages:   149
Publication Date:   15 May 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Accelerator Programming Using Directives: 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings


Overview

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.

Full Product Details

Author:   Sridutt Bhalachandra ,  Christopher Daley ,  Verónica Melesse Vergara
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   13194
Weight:   0.261kg
ISBN:  

9783030977580


ISBN 10:   3030977587
Pages:   149
Publication Date:   15 May 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of 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.

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