Accelerator programming using directives : 8th International Workshop, WACCPD 2021, virtual event, November 14, 2021, proceedings / Sridutt Bhalachandra, Christopher Daley, Verónica Melesse Vergara (eds.).
WACCPD (Workshop) (8th : 2021 : Online); Bhalachandra, Sridutt, editor.; Daley, Christopher, editor.; Vergara, Verónica Melesse, editor.
2022
QA76.6
Available Online

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Title
Accelerator programming using directives : 8th International Workshop, WACCPD 2021, virtual event, November 14, 2021, proceedings / Sridutt Bhalachandra, Christopher Daley, Verónica Melesse Vergara (eds.).
Meeting Name
WACCPD (Workshop) (8th : 2021 : Online)
ISBN
9783030977597 (electronic bk.)
3030977595 (electronic bk.)
9783030977580
3030977587
DOI
https://doi.org/10.1007/978-3-030-97759-7
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource : illustrations (black and white).
Item Number
10.1007/978-3-030-97759-7 doi
Call Number
QA76.6
Dewey Decimal Classification
005.13
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Bhalachandra, Sridutt, editor.
Daley, Christopher, editor.
Vergara, Verónica Melesse, editor.
Series
Lecture notes in computer science ; 13194.
LNCS sublibrary. SL 2, Programming and software engineering.
Available in Other Form
Accelerator programming using directives.
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Online Access
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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 Greens 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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