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EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Mike Showerman, Jeremy Enos, Craig Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu
Stanford University, Stanford, CA, USA
Computing in Science & Engineering, Vol. 13, No. 2, 2011, pp. 83-87

@article{showerman2011ecog,

   title={EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing},

   author={Showerman, M. and Enos, J. and Steffen, C. and Treichler, S. and Gropp, W. and Hwu, W.W.},

   journal={Computing in Science & Engineering},

   pages={83–87},

   issn={1521-9615},

   year={2011},

   publisher={Copublished by the IEEE CS and the AIP}

}

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Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.
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