TY - GEN
T1 - A simulation study of data partitioning algorithms for multiple clusters
AU - Yu, Chen
AU - Marinescu, Dan C.
AU - Siegel, Howard Jay
AU - Morrison, John P.
PY - 2007
Y1 - 2007
N2 - Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels; first, the data is distributed to a collection of heterogeneous parallel systems with different resources and startup time, then, on each system the data is evenly partitioned to the available nodes. In this paper, we report on a simulation study of the algorithms.
AB - Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels; first, the data is distributed to a collection of heterogeneous parallel systems with different resources and startup time, then, on each system the data is evenly partitioned to the available nodes. In this paper, we report on a simulation study of the algorithms.
UR - https://www.scopus.com/pages/publications/34548359172
U2 - 10.1109/CCGRID.2007.13
DO - 10.1109/CCGRID.2007.13
M3 - Conference proceeding
AN - SCOPUS:34548359172
SN - 0769528333
SN - 9780769528335
T3 - Proceedings - Seventh IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007
SP - 259
EP - 266
BT - Proceedings - Seventh IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007
T2 - 7th IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007
Y2 - 14 May 2007 through 17 May 2007
ER -