H. Sato (Japan)
MPI, heterogeneous environment, remote resource access, distributed computing, Grid
Today, Grid is one of major aspects in distributed comput ing environment, whose driving force is attributed to high performance computing, or CPU-cycle consuming compu tation. As a programming environment on Grid, we intro duce Ѵ , and propose using MPI as a programming model on a supercomputing network. This MPI program ming environment works on a heterogeneous distributed environment, and can represent large scale resource con suming computation. Shape is used to define computing in Ѵ . In Ѵ , shape define computation as a cou pled system of local MPI tasks and servers. Furthermore, remote accesses to memory and files which play central role in distributed computing are discussed.
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