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Issue No.02 - March/April (2011 vol.13)
pp: 83-87
ABSTRACT
<p>Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.</p>
INDEX TERMS
Graphics processing, GPUs, Nvidia, CUDA, scientific computing
CITATION
Jeremy Enos, Craig Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu, "EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing", Computing in Science & Engineering, vol.13, no. 2, pp. 83-87, March/April 2011, doi:10.1109/MCSE.2011.30
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3. T. Chen et al., "Cell Broadband Engine Architecture and Its First Implementation—A Performance View," IBM J. Research and Development, vol. 51, no. 5, 2007, pp. 559–572.
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5. J. Enos et al., "Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters," Proc. Int'l Conf. Green Computing, IEEE CS Press, 2010; doi.ieeecomputersociety.org/10.1109/GREENCOMP.2010.5598297.