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SMP-aware message passing programming

Jesper Larsson Träff

Open publisher page 15 citations

Abstract

The message passing interface (MPI) is designed as an architecture independent interface for parallel programming in the shared-nothing, message passing paradigm. We briefly summarize basic requirements to a high-quality implementation of MPI for efficient programming of SMP clusters and related architectures, and discuss possible, mild extensions of the topology functionality of MPI, which, while retaining a high degree of architecture independence, can make MPI more useful and efficient for message-passing programming of SMP clusters. We show that the discussed extensions can all be implemented on top of MPI with very little environmental support.

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What this paper is about

The message passing interface (MPI) is designed as an architecture independent interface for parallel programming in the shared-nothing, message passing paradigm. We briefly summarize basic requirements to a high-quality implementation of MPI for efficient programming of SMP clusters and related architectures, and discuss possible, mild extensions of the topology functionality of MPI, which, while retaining a high degree of architecture independence, can make MPI more useful and efficient for message-passing programming of SMP clusters. We show that the discussed extensions can all be implemented on top of MPI with very little environmental support.

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OpenAlex reports 15 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The message passing interface (MPI) is designed as an architecture independent interface for parallel programming in the shared-nothing, message passing paradigm. We briefly summarize basic requirements to a high-quality implementation of MPI for efficient programming of SMP clusters and related architectures, and discuss possible, mild extensions of the topology functionality of MPI, which, while retaining a high degree of architecture independence, can make MPI more useful and efficient for message-passing programming of SMP clusters. We show that the discussed extensions can all be implemented on top of MPI with very little environmental support.

Key concepts: Message passing, Computer science, Message Passing Interface, Interface (matter), Parallel computing, Programming paradigm, Independence (probability theory), Architecture

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