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

Title: GPTune v.1

Abstract

GPTune is an autotuning framework for exascale applications. Given an application with a set of parameters controlling its performance (e.g. runtime, memory and/or energy consumption, numerical accuracy, ...), GPTune aims at finding a combination of the parameters that yields the best possible performance. Although general enough, GPTune specializes in the tunning of expensive-to-run applications, where the cost of running the application is very expensive (in terms of computing power requirement and/or runtime).

Developers:
 [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Release Date:
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
USDOE

Primary Award/Contract Number:
AC02-05CH11231
Code ID:
28677
Site Accession Number:
2019-138
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Country of Origin:
United States

Citation Formats

Demmel, James W., Li, Sherry Xiaoye, Lakhdar, Mohamed Wissam Sid, and USDOE. GPTune v.1. Computer software. https://www.osti.gov//servlets/purl/1569031. USDOE. 7 Aug. 2019. Web. doi:10.11578/dc.20191003.2.
Demmel, James W., Li, Sherry Xiaoye, Lakhdar, Mohamed Wissam Sid, & USDOE. (2019, August 7). GPTune v.1 [Computer software]. https://www.osti.gov//servlets/purl/1569031. doi:10.11578/dc.20191003.2.
Demmel, James W., Li, Sherry Xiaoye, Lakhdar, Mohamed Wissam Sid, and USDOE. GPTune v.1. Computer software. August 7, 2019. https://www.osti.gov//servlets/purl/1569031. doi:10.11578/dc.20191003.2.
@misc{osti_1569031,
title = {GPTune v.1},
author = {Demmel, James W. and Li, Sherry Xiaoye and Lakhdar, Mohamed Wissam Sid and USDOE},
abstractNote = {GPTune is an autotuning framework for exascale applications. Given an application with a set of parameters controlling its performance (e.g. runtime, memory and/or energy consumption, numerical accuracy, ...), GPTune aims at finding a combination of the parameters that yields the best possible performance. Although general enough, GPTune specializes in the tunning of expensive-to-run applications, where the cost of running the application is very expensive (in terms of computing power requirement and/or runtime).},
url = {https://www.osti.gov//servlets/purl/1569031},
doi = {10.11578/dc.20191003.2},
year = {2019},
month = {8},
note =
}

Software:
Publicly Accessible Repository
https://github.com/xiaoyeli/GPTune

Save / Share: