Title :
EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing
Author :
Showerman, Michael ; Enos, Jeremy ; Steffen, Craig ; Treichler, Sean ; Gropp, William ; Hwu, Wen-Mei W.
Author_Institution :
Stanford Univ., Stanford, CA, USA
Abstract :
Researchers built the EcoG GPU-based cluster to show that a system can be designed around GPU computing and still be power efficient.
Keywords :
computer graphic equipment; coprocessors; pattern clustering; power aware computing; EcoG; power efficient GPU cluster architecture; scientific computing; Computer architecture; Computer science; Graphics processing unit; Green products; Hardware; Power measurement; Scientific computing; CUDA; GPUs; Graphics processing; Nvidia; scientific computing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.30
