skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Evaluating Performance Portability of OpenACC

Abstract

Accelerator-based heterogeneous computing is gaining momentum in High Performance Computing arena. However, the increased complexity of the accelerator architectures demands more generic, high-level programming models. OpenACC is one such attempt to tackle the problem. While the abstraction endowed by OpenACC offers productivity, it raises questions on its portability. This paper evaluates the performance portability obtained by OpenACC on twelve OpenACC programs on NVIDIA CUDA, AMD GCN, and Intel MIC architectures. We study the effects of various compiler optimizations and OpenACC program settings on these architectures to provide insights into the achieved performance portability.

Authors:
 [1];  [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1286780
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Languages and Compilers for Parallel Computing, Hillsboro, OR, USA, 20140915, 20140917
Country of Publication:
United States
Language:
English

Citation Formats

Sabne, Amit J, Sakdhnagool, Putt, Lee, Seyong, and Vetter, Jeffrey S. Evaluating Performance Portability of OpenACC. United States: N. p., 2015. Web.
Sabne, Amit J, Sakdhnagool, Putt, Lee, Seyong, & Vetter, Jeffrey S. Evaluating Performance Portability of OpenACC. United States.
Sabne, Amit J, Sakdhnagool, Putt, Lee, Seyong, and Vetter, Jeffrey S. Thu . "Evaluating Performance Portability of OpenACC". United States. https://www.osti.gov/servlets/purl/1286780.
@article{osti_1286780,
title = {Evaluating Performance Portability of OpenACC},
author = {Sabne, Amit J and Sakdhnagool, Putt and Lee, Seyong and Vetter, Jeffrey S},
abstractNote = {Accelerator-based heterogeneous computing is gaining momentum in High Performance Computing arena. However, the increased complexity of the accelerator architectures demands more generic, high-level programming models. OpenACC is one such attempt to tackle the problem. While the abstraction endowed by OpenACC offers productivity, it raises questions on its portability. This paper evaluates the performance portability obtained by OpenACC on twelve OpenACC programs on NVIDIA CUDA, AMD GCN, and Intel MIC architectures. We study the effects of various compiler optimizations and OpenACC program settings on these architectures to provide insights into the achieved performance portability.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {1}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: