Abstract
MPI has been a successful parallel programming model. The combination of performance, scalability, composability, and support for libraries has made it relatively easy to build complex parallel applications. However, MPI is by no means the perfect parallel programming model. This talk will review the strengths of MPI with respect to other parallel programming models and discuss some of the weaknesses and limitations of MPI in the areas of performance, productivity, scalability, and interoperability. The talk will conclude with a discussion of what extensions (or even changes) may be needed in MPI, and what issues should be addressed by combining MPI with other parallel programming models. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Gropp, W. D. (2006). Where does MPI need to grow? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4192 LNCS, p. 3). Springer Verlag. https://doi.org/10.1007/11846802_3
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