Mark Murphy and Kurt Keutzer and Leonid Oliker and Chris Rowen and John Shalf

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2008-13

February 12, 2008

http://www2.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.

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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},
    Year= {2008},
    Month= {Feb},
    Url= {http://www2.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://www2.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-13.html
%F Murphy:EECS-2008-13