Hydra: A Python Framework for Parallel Computing

Tristram, Waide B; Bradshaw, Karen

Title: Hydra: A Python Framework for Parallel Computing
Creator: Tristram, Waide B
Creator: Bradshaw, Karen
Subject: To be catalogued
Date Issued: 2009
Date: 2009
Type: text
Type: book
Identifier: http://hdl.handle.net/10962/477100
Identifier: vital:78045
Identifier: ISBN 9781607500650
Identifier: https://doi.org/10.3233/978-1-60750-065-0-311
Description: This paper investigates the feasibility of developing a CSP to Python translator using a concurrent framework for Python. The objective of this translation framework, developed under the name of Hydra, is to produce a tool that helps programmers implement concurrent software easily using CSP algorithms. This objective was achieved using the ANTLR compiler generator tool, Python Remote Objects and PyCSP. The resulting Hydra prototype takes an algorithm defined in CSP, parses and converts it to Python and then executes the program using multiple instances of the Python interpreter. Testing has revealed that the Hydra prototype appears to function correctly, allowing simultaneous process execution. Therefore, it can be concluded that converting CSP to Python using a concurrent framework such as Hydra is both possible and adds flexibility to CSP with embedded Python statements.
Format: 14 pages
Format: pdf
Publisher: IOS Press
Language: English
Relation: Tristram, W.B. and Bradshaw, K.L., 2009, November. Hydra: A Python Framework for Parallel Computing. In CPA (pp. 311-324)
Rights: Authors
Rights: Use of this resource is governed by the terms and conditions of the IOS Press terms of use (https://www.iospress.com/disclaimer)

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RU Department of Computer Science

Bradshaw, Karen Lee (Assoc Prof)

SDG 09. Industry, Innovation and Infrastructure

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