2004•Unpublished venueRequires access

Shared-Memory Versus Message-Passing on PC Cluster

Long Zhang

Open publisher page 3 citations

Abstract

Two parallel programming models of shared-memory and message-passing are widely adopted. The programmability of message-passing is poor, while that of shared-memory is good. The OpenMP Application Programming Interface is an emerging standard for shared-memory. OpenMP on cluster supplies an OpenMP computing environment on cluster of workstations or PCs, which combines the friendly programmability of shared-memory with the fine scalability of cluster. Taking 7 well-known parallel applications on a cluster of PCs, this paper compares the performance of OpenMP/JIAJIA, an OpenMP system on cluster, with that of MPI, a typical message passing system. Experimental results show that the performance of OpenMP is averagely equal to 81% of MPI for the 7 applications running on 8-nodes, but the former is easier to use than the latter.

About this research paper

What this paper is about

Two parallel programming models of shared-memory and message-passing are widely adopted. The programmability of message-passing is poor, while that of shared-memory is good. The OpenMP Application Programming Interface is an emerging standard for shared-memory. OpenMP on cluster supplies an OpenMP computing environment on cluster of workstations or PCs, which combines the friendly programmability of shared-memory with the fine scalability of cluster. Taking 7 well-known parallel applications on a cluster of PCs, this paper compares the performance of OpenMP/JIAJIA, an OpenMP system on cluster, with that of MPI, a typical message passing system. Experimental results show that the performance of OpenMP is averagely equal to 81% of MPI for the 7 applications running on 8-nodes, but the former is easier to use than the latter.

Why it matters

OpenAlex reports 3 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

Two parallel programming models of shared-memory and message-passing are widely adopted. The programmability of message-passing is poor, while that of shared-memory is good. The OpenMP Application Programming Interface is an emerging standard for shared-memory. OpenMP on cluster supplies an OpenMP computing environment on cluster of workstations or PCs, which combines the friendly programmability of shared-memory with the fine scalability of cluster. Taking 7 well-known parallel applications on a cluster of PCs, this paper compares the performance of OpenMP/JIAJIA, an OpenMP system on cluster, with that of MPI, a typical message passing system. Experimental results show that the performance of OpenMP is averagely equal to 81% of MPI for the 7 applications running on 8-nodes, but the former is easier to use than the latter.

Key concepts: Computer science, Message passing, Shared memory, Message Passing Interface, Parallel computing, Distributed shared memory, Scalability, Cluster (spacecraft)

Related papers

Back to paper searchBrowse research topicsOriginal source
Shared-Memory Versus Message-Passing on PC Cluster — Research Paper | ScholarLens