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Journal Articles Scalable Computing: Practice and Experience Year : 2017

A BSPlib-style API for Bulk Synchronous Parallel ML

Abstract

Bulk synchronous parallelism (BSP) offers an abstract and simple model of parallelism yet allows to take realistically into account the communication costs of parallel algorithms. BSP has been used in many application domains. BSPlib and its variants are programming libraries for the C language that support the BSP style. Bulk Synchronous Parallel ML (BSML) is a library for BSP programming with the functional language OCaml. It offers parallel operations on a data structure named parallel vector. BSML provides a global view of programs, i.e. BSML programs can be seen as sequential programs working on a parallel data structure (seq of par) while a BSPlib program is written in the SPMD style and understood as a parallel composition of communicating sequential programs (par of seq). The communication styles of BSML and BSPlib are also quite different. The contribution of this paper is a BSPlib-style communication API implemented on top of BSML. It has been designed without extending BSML, but only using the imperative features of the underlying function language OCaml. Programs implemented using this API are very close to programs implemented using a BSPlib library for the C language. It therefore shows that BSML is universal for the BSP model.

Dates and versions

hal-02317103 , version 1 (15-10-2019)

Identifiers

Cite

Frédéric Loulergue. A BSPlib-style API for Bulk Synchronous Parallel ML. Scalable Computing: Practice and Experience, 2017, 18 (3), ⟨10.12694/scpe.v18i3.1306⟩. ⟨hal-02317103⟩
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