Accelerator programming using directives : 7th international workshop, WACCPD 2020, virtual event, November 20, 2020 : proceedings / Sridutt Bhalachandra, Sandra Wienke, Sunita Chandrasekaran, Guido Juckeland (eds.).
2021
QA76.751
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Title
Accelerator programming using directives : 7th international workshop, WACCPD 2020, virtual event, November 20, 2020 : proceedings / Sridutt Bhalachandra, Sandra Wienke, Sunita Chandrasekaran, Guido Juckeland (eds.).
Meeting Name
ISBN
9783030742249 (electronic bk.)
3030742245 (electronic bk.)
9783030742232
3030742245 (electronic bk.)
9783030742232
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (ix, 103 pages) : illustrations (chiefly color)
Item Number
10.1007/978-3-030-74224-9 doi
Call Number
QA76.751
Dewey Decimal Classification
005.13
Summary
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.
Note
International conference proceedings.
Includes author index.
Includes author index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 22, 2021).
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Series
Lecture notes in computer science ; 12655.
LNCS sublibrary. SL 2, Programming and software engineering.
LNCS sublibrary. SL 2, Programming and software engineering.
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Table of Contents
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.
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.