TY - GEN
T1 - Natural HPC substrate
T2 - 2011 International Conference on High Performance Computing and Simulation, HPCS 2011
AU - Taifi, Moussa
AU - Khreishah, Abdallah
AU - Shi, Justin Y.
PY - 2011
Y1 - 2011
N2 - Recent GPU developments have attracted much interest in the HPC community. Since each GPU interface requires a dedicated host processor, the unused high performance non-GPU processors are simply wasted. GPUs are energy intensive and are more likely to fail than CPUs, we are interested in using all processors to a) boosting application performance, and b) defending GPU failures. This paper reports parallel computation experiments using a natural semantic multiplexing substrate; we call Deeply Decoupled Parallel Processing (D2P2). The idea is to apply statistic multiplexing on application's semantic network with application-defined data tuples. Tuple space parallel processing is a natural choice for applying statistic multiplexing on application semantic networks. We report up to 53% performance gain for CPU:GPU capability ratio of 1:5. For faster GPUs, CPUs are better used to prevent application halt when GPU fails. The D2P2 substrate allows fault tolerant parallel processing using heterogeneous processors.
AB - Recent GPU developments have attracted much interest in the HPC community. Since each GPU interface requires a dedicated host processor, the unused high performance non-GPU processors are simply wasted. GPUs are energy intensive and are more likely to fail than CPUs, we are interested in using all processors to a) boosting application performance, and b) defending GPU failures. This paper reports parallel computation experiments using a natural semantic multiplexing substrate; we call Deeply Decoupled Parallel Processing (D2P2). The idea is to apply statistic multiplexing on application's semantic network with application-defined data tuples. Tuple space parallel processing is a natural choice for applying statistic multiplexing on application semantic networks. We report up to 53% performance gain for CPU:GPU capability ratio of 1:5. For faster GPUs, CPUs are better used to prevent application halt when GPU fails. The D2P2 substrate allows fault tolerant parallel processing using heterogeneous processors.
KW - Semantic statistic multiplexing
KW - fault tolerant GPU computing
KW - load balancing using heterogeneous processors
UR - http://www.scopus.com/inward/record.url?scp=80052995149&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052995149&partnerID=8YFLogxK
U2 - 10.1109/HPCSim.2011.5999804
DO - 10.1109/HPCSim.2011.5999804
M3 - Conference contribution
AN - SCOPUS:80052995149
SN - 9781612843810
T3 - Proceedings of the 2011 International Conference on High Performance Computing and Simulation, HPCS 2011
SP - 33
EP - 40
BT - Proceedings of the 2011 International Conference on High Performance Computing and Simulation, HPCS 2011
Y2 - 4 July 2011 through 8 July 2011
ER -