2002•Unpublished venueRequires access

An experimental study of BSP sorting algorithms

Alexandros V. Gerbessiotis, Constantinos J. Siniolakis

Open publisher page 9 citations

Abstract

The bulk-synchronous parallel (BSP) model of computation has been proposed as a unifying and bridging model for the design, analysis and implementation of parallel algorithms that are both scalable and portable among diverse parallel machines. The authors implement, using the Oxford BSP Toolset, BSPlib, a number of BSP deterministic and randomized sorting algorithms on a variety of parallel systems, including the SGI Power Challenge and the CRAY T3D. The experimental results illustrate the efficiency, portability and reusability of the algorithms across such diverse hardware platforms, and reinforce their claim that the BSP model can be used as a kind of programming paradigm.

About this research paper

What this paper is about

The bulk-synchronous parallel (BSP) model of computation has been proposed as a unifying and bridging model for the design, analysis and implementation of parallel algorithms that are both scalable and portable among diverse parallel machines. The authors implement, using the Oxford BSP Toolset, BSPlib, a number of BSP deterministic and randomized sorting algorithms on a variety of parallel systems, including the SGI Power Challenge and the CRAY T3D. The experimental results illustrate the efficiency, portability and reusability of the algorithms across such diverse hardware platforms, and reinforce their claim that the BSP model can be used as a kind of programming paradigm.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The bulk-synchronous parallel (BSP) model of computation has been proposed as a unifying and bridging model for the design, analysis and implementation of parallel algorithms that are both scalable and portable among diverse parallel machines. The authors implement, using the Oxford BSP Toolset, BSPlib, a number of BSP deterministic and randomized sorting algorithms on a variety of parallel systems, including the SGI Power Challenge and the CRAY T3D. The experimental results illustrate the efficiency, portability and reusability of the algorithms across such diverse hardware platforms, and reinforce their claim that the BSP model can be used as a kind of programming paradigm.

Key concepts: Software portability, Computer science, Parallel computing, Scalability, Sorting, Bulk synchronous parallel, Computation, Parallel algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
An experimental study of BSP sorting algorithms — Research Paper | ScholarLens