Abstract
Several metacomputing projects try to implement MPI for homogeneous and heterogeneous clusters of parallel systems. MPI-GLUE is the first approach which exports nearly full MPI 1.1 to the user's application without losing the efficiency of the vendors' MPI implementations. Inside of each MPP or PVP system the vendor's MPI implementation is used. Between the parallel systems a slightly modified TCP-based MPICH is used, i.e. MPI-GLUE is a layer that combines different vendors' MPIs by using MPICH as a global communication layer. Major design decisions within MPI-GLUE and other metacomputing MPI libraries (PACX-MPI, PVMPI, Globus and PLUS) and their implications for the programming model are compared. The design principles are explained in detail.
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Cite
CITATION STYLE
Rabenseifner, R. (1998). MPI-GLUE: Interoperable high-performance MPI combining different vendor’s MPI worlds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1470 LNCS, pp. 563–569). Springer Verlag. https://doi.org/10.1007/bfb0057902
Readers over time
Readers' Seniority
Readers' Discipline
