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
BibTeX
@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}
}
Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.
No votes yet.
Please wait...
