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Title: STOMP: Statistical Techniques for Optimizing and Modeling Performance of blocked sparse matrix vector multiplication

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1332463
Report Number(s):
LLNL-CONF-695657
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: 28th International Symposium on Computer Architecture and High Performance Computing, Los Angeles, CA, United States, Oct 26 - Oct 28, 2016
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Monteiro, S, Wong, D, and Iandola, F. STOMP: Statistical Techniques for Optimizing and Modeling Performance of blocked sparse matrix vector multiplication. United States: N. p., 2016. Web.
Monteiro, S, Wong, D, & Iandola, F. STOMP: Statistical Techniques for Optimizing and Modeling Performance of blocked sparse matrix vector multiplication. United States.
Monteiro, S, Wong, D, and Iandola, F. Wed . "STOMP: Statistical Techniques for Optimizing and Modeling Performance of blocked sparse matrix vector multiplication". United States. https://www.osti.gov/servlets/purl/1332463.
@article{osti_1332463,
title = {STOMP: Statistical Techniques for Optimizing and Modeling Performance of blocked sparse matrix vector multiplication},
author = {Monteiro, S and Wong, D and Iandola, F},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {6}
}

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.

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