1 option
Accelerator Programming Using Directives : 7th International Workshop, WACCPD 2020, Virtual Event, November 20, 2020, Proceedings / edited by Sridutt Bhalachandra, Sandra Wienke, Sunita Chandrasekaran, Guido Juckeland.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Programming and software engineering 2945-9168 ; SL 2, 12655
- Programming and Software Engineering, 2945-9168 ; 12655
- Language:
- English
- Subjects (All):
- Compilers (Computer programs).
- Computer engineering.
- Computer networks.
- Microprogramming.
- Computer programming.
- Numerical analysis.
- Compilers and Interpreters.
- Computer Engineering and Networks.
- Control Structures and Microprogramming.
- Programming Techniques.
- Numerical Analysis.
- Local Subjects:
- Compilers and Interpreters.
- Computer Engineering and Networks.
- Control Structures and Microprogramming.
- Programming Techniques.
- Numerical Analysis.
- Physical Description:
- 1 online resource (IX, 103 pages) : 42 illustrations, 38 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-74224-9
- 9783030742249
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.