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Title: Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction

Authors:
; ; ; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1430910
Report Number(s):
LLNL-CONF-678315
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: ScalA;17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, United States, Nov 13 - Nov 13, 2017
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Singh, R, Wood, P, Gupta, R, Bagchi, S, and Laguna, I. Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction. United States: N. p., 2015. Web. doi:10.1145/3148226.3148235.
Singh, R, Wood, P, Gupta, R, Bagchi, S, & Laguna, I. Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction. United States. https://doi.org/10.1145/3148226.3148235
Singh, R, Wood, P, Gupta, R, Bagchi, S, and Laguna, I. 2015. "Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction". United States. https://doi.org/10.1145/3148226.3148235. https://www.osti.gov/servlets/purl/1430910.
@article{osti_1430910,
title = {Snowpack: Efficient Parameter Choice for GPU Kernels via Static Analysis and Statistical Prediction},
author = {Singh, R and Wood, P and Gupta, R and Bagchi, S and Laguna, I},
abstractNote = {},
doi = {10.1145/3148226.3148235},
url = {https://www.osti.gov/biblio/1430910}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}

Conference:
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