Object Distribution in Orca using Compile-Time and Run-Time Techniques

DMCA

Object Distribution in Orca using Compile-Time and Run-Time Techniques (1993)

Cached

Download Links

[ftp.lip6.fr]
[www.cag.lcs.mit.edu]
[www.bsslab.de]

Other Repositories/Bibliography

DBLP

by Henri E. Bal , M. Frans Kaashoek

Citations:

81 - 20 self

BibTeX

@INPROCEEDINGS{Bal93objectdistribution,
    author = {Henri E. Bal and M. Frans Kaashoek},
    title = {Object Distribution in Orca using Compile-Time and Run-Time Techniques},
    booktitle = {},
    year = {1993},
    pages = {162--177}
}

OpenURL

Abstract

Orca is a language for parallel programming on distributed systems. Communication in Orca is based on shared data-objects, which is a form of distributed shared memory. The performance of Orca programs depends strongly on how shared dataobjects are distributed among the local physical memories of the processors. This paper studies a new and efficient solution to this problem, based on an integration of compile-time and run-time techniques. The Orca compiler has been extended to determine the access patterns of processes to shared objects. The compiler passes a summary of this information to the run-time system, which uses it to make good decisions about which objects to replicate and where to store nonreplicated objects. Measurements show that the new system gives better overall performance than any previous implementation of Orca. 3333333333333333 1 This research was supported in part by a PIONIER grant from the Netherlands Organization for Scientific Research (N.W.O.). 2 This re...

Keyphrases

run-time technique object distribution run-time system access pattern new system netherlands organization distributed shared memory scientific research good decision orca program shared dataobjects local physical memory distributed system efficient solution pionier grant overall performance nonreplicated object previous implementation parallel programming paper study orca compiler

DMCA