Evaluating Architectures for Application-Specific Parallel Scientific Computing Systems
Mark Murphy, Kurt Keutzer, Leonid Oliker, Chris Rowen and John Shalf
EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2008-13
February 12, 2008
http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-13.pdf
In this work, we examine the computational efficiency of scientific applications on three high-performance-computing systems based on processors of varying degrees of specialization: an x86 server processor, the AMD Opteron; a more specialized System-on-Chip solution, the BlueGene/L and BlueGene/P; and a configurable embedded core, the Tensilica Xtensa. We use the atmospheric component of the global Community Atmospheric Model to motivate our study by defining a problem that requires exascale-class computing performance currently beyond the capabilities of existing systems. Significant advances in power-efficiency are necessary to make such a system practical to field.
BibTeX citation:
@techreport{Murphy:EECS-2008-13,
Author = {Murphy, Mark and Keutzer, Kurt and Oliker, Leonid and Rowen, Chris and Shalf, John},
Title = {Evaluating Architectures for Application-Specific Parallel Scientific Computing Systems},
Institution = {EECS Department, University of California, Berkeley},
Year = {2008},
Month = {Feb},
URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-13.html},
Number = {UCB/EECS-2008-13},
Abstract = {In this work, we examine the computational efficiency of scientific applications on three high-performance-computing systems based on processors of varying degrees of specialization: an x86 server processor, the AMD Opteron; a more specialized System-on-Chip solution, the BlueGene/L and BlueGene/P; and a configurable embedded core, the Tensilica Xtensa. We use the atmospheric component of the global Community Atmospheric Model to motivate our study by defining a problem that requires exascale-class computing performance currently beyond the capabilities of existing systems. Significant advances in power-efficiency are necessary to make such a system practical to field.}
}
EndNote citation:
%0 Report %A Murphy, Mark %A Keutzer, Kurt %A Oliker, Leonid %A Rowen, Chris %A Shalf, John %T Evaluating Architectures for Application-Specific Parallel Scientific Computing Systems %I EECS Department, University of California, Berkeley %D 2008 %8 February 12 %@ UCB/EECS-2008-13 %U http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-13.html %F Murphy:EECS-2008-13