TY - GEN
T1 - SPRAT
T2 - 2008 IEEE International Conference on Cluster Computing, ICCC 2008
AU - Takizawa, Hiroyuki
AU - Sato, Katuto
AU - Kobayashi, Hiroaki
PY - 2008
Y1 - 2008
N2 - A commodity personal computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a graphics processing unit (GPU). Since the superiorities of GPUs in the performance and the power efficiency strongly depend on the system configuration and the data size determined at the runtime, a programmer cannot always know which processor should be used to execute a certain kernel. Therefore, this paper presents a runtime environment that dynamically selects an appropriate processor so as to improve the energy efficiency. The evaluation results clearly indicate that the runtime processor selection at executing each kernel with given data streams is promising for energy-aware computing on a hybrid computing system.
AB - A commodity personal computer (PC) can be seen as a hybrid computing system equipped with two different kinds of processors, i.e. CPU and a graphics processing unit (GPU). Since the superiorities of GPUs in the performance and the power efficiency strongly depend on the system configuration and the data size determined at the runtime, a programmer cannot always know which processor should be used to execute a certain kernel. Therefore, this paper presents a runtime environment that dynamically selects an appropriate processor so as to improve the energy efficiency. The evaluation results clearly indicate that the runtime processor selection at executing each kernel with given data streams is promising for energy-aware computing on a hybrid computing system.
UR - http://www.scopus.com/inward/record.url?scp=57949085565&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=57949085565&partnerID=8YFLogxK
U2 - 10.1109/CLUSTR.2008.4663799
DO - 10.1109/CLUSTR.2008.4663799
M3 - Conference contribution
AN - SCOPUS:57949085565
SN - 9781424426409
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
SP - 386
EP - 393
BT - Proceedings of the 2008 IEEE International Conference on Cluster Computing, CCGRID 2008
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 September 2008 through 1 October 2008
ER -