Work

Parallelizing MCP-Haskell for Evaluating Haskell# Parallel Programming Environment

Year: 2001

Type: conference-paper

Abstract: In this paper, we present the parallelization of a sequential functional implementation of a Monte Carlo Transport Problem, called MCP-Haskell[Hammes et al., 1995], using Haskell#. This experiment gave us important feedback for evaluating Haskel# features, helping us to answer some questions, like how expressive is Haskel# for representing known parallel computational patterns, how easy it is to build large scale parallel programs in an elegant and concise way, and how efficient are Haskell# programs. Based on our conclusions, we suggest new features to be incorporated in Haskel# to improve its expressiveness and performance. We also present the performance figures for the MCP-Haskell# benchmark.

Source: International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

DOI: 10.5753/sbac-pad.2001.22209

Authors: F. H. Carvalho Jr., R. D. Lins, R. M. F. Lima

Institutions: Universidade Federal de Pernambuco, Chalmers University of Technology

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4312516937

FWCI: 0.418

Cites: 30

Cited by: 2

Related to: 10