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EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing
March/April 2011 (vol. 13 no. 2)
pp. 83-87

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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Index Terms:
Graphics processing, GPUs, Nvidia, CUDA, scientific computing
Citation:
Mike Showerman, 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 and Engineering, vol. 13, no. 2, pp. 83-87, March-April 2011, doi:10.1109/MCSE.2011.30
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