arrow
Return

Comparing latency-tolerance techniques for software DSM systems

delete2003-11-01
delete3
PRE
AI
R
Raquel Coelho Gomes Pinto *
R
Ricardo Bianchini
DOI:10.1109/TPDS.2003.1247677delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper studies the isolated and combined effects of several latency-tolerance techniques for software-based distributed shared-memory systems (software DSMs). More specifically, we focus on data prefetching, update-based coherence, and single-writer optimizations for page-based software DSMs. Our experimental results with six parallel applications show that, when these techniques are carefully combined, they can provide running time and speedup improvements of up to 54 percent and 110 percent, respectively, on a cluster of eight PCs.
Keywords:
distributed systems
performance
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Parallel and Distributed Systems cover
IEEE Transactions on Parallel and Distributed Systems
IF:
6
Papers:
5.2K
Citations:
1.1W

Organization

No organization information available