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

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6 Author(s)
Showerman, M. ; Stanford Univ., Stanford, CA, USA ; Enos, J. ; Steffen, C. ; Treichler, S.
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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.

Published in:

Computing in Science & Engineering  (Volume:13 ,  Issue: 2 )