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Title: Auto-tuning Stencil Computations on Multicore and Accelerators

Abstract

The recent transformation from an environment where gains in computational performance came from increasing clock frequency and other hardware engineering innovations, to an environment where gains are realized through the deployment of ever increasing numbers of modest performance cores has profoundly changed the landscape of scientific application programming. This exponential increase in core count represents both an opportunity and a challenge: access to petascale simulation capabilities and beyond will require that this concurrency be efficiently exploited.

Authors:
 [1];  [2];  [1];  [2];  [2];  [2];  [2]
  1. Univ. of California, Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1407093
DOE Contract Number:
AC02-05CH11231
Resource Type:
Book
Resource Relation:
Journal Volume: 20102756; Related Information: Book Title: Scientific Computing with Multicore and Accelerators
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 43 PARTICLE ACCELERATORS

Citation Formats

Datta, Kaushik, Williams, Samuel, Volkov, Vasily, Carter, Jonathan, Oliker, Leonid, Shalf, John, and Yelick, Katherine. Auto-tuning Stencil Computations on Multicore and Accelerators. United States: N. p., 2010. Web. doi:10.1201/b10376-18.
Datta, Kaushik, Williams, Samuel, Volkov, Vasily, Carter, Jonathan, Oliker, Leonid, Shalf, John, & Yelick, Katherine. Auto-tuning Stencil Computations on Multicore and Accelerators. United States. doi:10.1201/b10376-18.
Datta, Kaushik, Williams, Samuel, Volkov, Vasily, Carter, Jonathan, Oliker, Leonid, Shalf, John, and Yelick, Katherine. Tue . "Auto-tuning Stencil Computations on Multicore and Accelerators". United States. doi:10.1201/b10376-18. https://www.osti.gov/servlets/purl/1407093.
@article{osti_1407093,
title = {Auto-tuning Stencil Computations on Multicore and Accelerators},
author = {Datta, Kaushik and Williams, Samuel and Volkov, Vasily and Carter, Jonathan and Oliker, Leonid and Shalf, John and Yelick, Katherine},
abstractNote = {The recent transformation from an environment where gains in computational performance came from increasing clock frequency and other hardware engineering innovations, to an environment where gains are realized through the deployment of ever increasing numbers of modest performance cores has profoundly changed the landscape of scientific application programming. This exponential increase in core count represents both an opportunity and a challenge: access to petascale simulation capabilities and beyond will require that this concurrency be efficiently exploited.},
doi = {10.1201/b10376-18},
journal = {},
number = ,
volume = 20102756,
place = {United States},
year = {Tue Dec 07 00:00:00 EST 2010},
month = {Tue Dec 07 00:00:00 EST 2010}
}

Book:
Other availability
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