TY - GEN
T1 - Adding memory resource consideration into workload distribution for software DSM systems
AU - Liang, Tyng Yeu
AU - Liu, Yen Tao
AU - Shieh, Ce Kuen
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - Workload distribution is an important issue for user applications to obtain a good performance on software distributed shared memory (DSM) systems. The workload distribution methods that were previously proposed for DSM systems always considered only CPU power and data sharing but ignored memory availability of processors. However, the cost of memory accesses is also an important factor of determining program performance especially when processors have not sufficient memory space to cache all the data needed by program threads. Therefore, the past methods might make wrong decisions in workload distribution to degrade program performance. To resolve this problem, this paper is dedicated to adding memory resource consideration into workload distribution for software DSM systems. Our experimental result shows that one workload distribution method with memory resource consideration is indeed more effective for minimizing the execution time of DSM applications than another without memory resource consideration.
AB - Workload distribution is an important issue for user applications to obtain a good performance on software distributed shared memory (DSM) systems. The workload distribution methods that were previously proposed for DSM systems always considered only CPU power and data sharing but ignored memory availability of processors. However, the cost of memory accesses is also an important factor of determining program performance especially when processors have not sufficient memory space to cache all the data needed by program threads. Therefore, the past methods might make wrong decisions in workload distribution to degrade program performance. To resolve this problem, this paper is dedicated to adding memory resource consideration into workload distribution for software DSM systems. Our experimental result shows that one workload distribution method with memory resource consideration is indeed more effective for minimizing the execution time of DSM applications than another without memory resource consideration.
UR - http://www.scopus.com/inward/record.url?scp=58049189024&partnerID=8YFLogxK
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U2 - 10.1109/CLUSTR.2003.1253335
DO - 10.1109/CLUSTR.2003.1253335
M3 - Conference contribution
AN - SCOPUS:58049189024
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
SP - 362
EP - 369
BT - Proceedings - IEEE International Conference on Cluster Computing, CLUSTER 2003
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Cluster Computing, CLUSTER 2003
Y2 - 1 December 2003 through 4 December 2003
ER -