Accelerator Programming Using Directives [E-Book] : 8th International Workshop, WACCPD 2021, Virtual Event, November 14, 2021, Proceedings / edited by Sridutt Bhalachandra, Christopher Daley, Verónica Melesse Vergara.
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 an...
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Personal Name(s): | Bhalachandra, Sridutt, editor |
Daley, Christopher, editor / Melesse Vergara, Verónica, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
XIV, 149 pages 47 illustrations, 40 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030977597 |
DOI: |
10.1007/978-3-030-97759-7 |
Series Title: |
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Programming and Software Engineering ;
13194 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
- 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.