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The Impact of Multicore on Math Software and Exploiting Single Precision Computing to Obtain Double Precision Results
Columbus, Ohio August 14-August 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2006.682006 International Conference on Para ...
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Jack Dongarra, "The Impact of Multicore on Math Software and Exploiting Single Precision Computing to Obtain Double Precision Results," Parallel Processing, International Conference on, pp. xix, 2006 International Conference on Parallel Processing (ICPP'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICPP.2006.68,
author = {Jack Dongarra},
title = {The Impact of Multicore on Math Software and Exploiting Single Precision Computing to Obtain Double Precision Results},
journal ={Parallel Processing, International Conference on},
volume = {0},
year = {2006},
issn = {0190-3918},
pages = {xix},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPP.2006.68},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel Processing, International Conference on
TI - The Impact of Multicore on Math Software and Exploiting Single Precision Computing to Obtain Double Precision Results
SN - 0190-3918
SP
EP
A1 - Jack Dongarra,
PY - 2006
KW - null
VL - 0
JA - Parallel Processing, International Conference on
ER -
 
Jack Dongarra, University of Tennessee, USA
Recent versions of microprocessors exhibit performance characteristics for 32 bit floating point arithmetic (single precision) that is substantially higher than 64 bit floating point arithmetic (double precision). Examples include the Intel's Pentium IV and M processors, AMD's Opteron architectures, the IBM's Cell processor and various GPUs.
Citation:
Jack Dongarra, "The Impact of Multicore on Math Software and Exploiting Single Precision Computing to Obtain Double Precision Results," icpp, pp.xix, 2006 International Conference on Parallel Processing (ICPP'06), 2006
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