TY - GEN
T1 - GPU clusters for high-performance computing
AU - Kindratenko, Volodymyr V.
AU - Enos, Jeremy J.
AU - Shi, Guochun
AU - Showerman, Michael T.
AU - Arnold, Galen W.
AU - Stone, John E.
AU - Phillips, James C.
AU - Hwu, Wen Mei
PY - 2009
Y1 - 2009
N2 - Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters.
AB - Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters.
UR - http://www.scopus.com/inward/record.url?scp=72049106942&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72049106942&partnerID=8YFLogxK
U2 - 10.1109/CLUSTR.2009.5289128
DO - 10.1109/CLUSTR.2009.5289128
M3 - Conference contribution
AN - SCOPUS:72049106942
SN - 9781424450121
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
BT - 2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09
T2 - 2009 IEEE International Conference on Cluster Computing and Workshops, CLUSTER '09
Y2 - 31 August 2009 through 4 September 2009
ER -