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A Formal Semantics of the MULTI-ML Language

Authors: Allombert, Victor; Gava, Frédéric; Tesson, Julien;

A Formal Semantics of the MULTI-ML Language

Abstract

In the context of high performance computing, it is important to avoid indeterminism and dead-locks. Multi-ML is a functional parallel programming language "a la ML", designed to program hierarchical architectures in a structured way. It is based of the Multi-BSP bridging model. To ensure that a program "cannot go wrong", we first need to define how a program "goes". To do so, we propose a formal operational semantics of the Multi-ML language to ensure the properties of the Multi-BSP model. We first describe a core-language and then introduce the big step's semantics evaluation rules. Then, we propose a set of evaluation rules that describe the behaviour of the Multi-ML language. The memory model is also precisely defined, as the Multi-BSP model deals with multiple level of nested memories.

Country
France
Keywords

[INFO.INFO-PF] Computer Science [cs]/Performance [cs.PF], MULTI-BSP, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO] Computer Science [cs], ML, Semantics, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green