Object Distribution in Orca using Compile-Time and Run-Time Techniques
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 th...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.32.2833 2023-05-15T17:52:57+02:00 Object Distribution in Orca using Compile-Time and Run-Time Techniques Henri E. Bal M. Frans Kaashoek The Pennsylvania State University CiteSeerX Archives 1993 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2833 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2833 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://ftp.lip6.fr/pub2/distributed_systems/amoeba/orca_papers/oopsla93.ps.gz text 1993 ftciteseerx 2016-09-04T00:16:07Z 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. Text Orca Unknown |
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English |
description |
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. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Henri E. Bal M. Frans Kaashoek |
spellingShingle |
Henri E. Bal M. Frans Kaashoek Object Distribution in Orca using Compile-Time and Run-Time Techniques |
author_facet |
Henri E. Bal M. Frans Kaashoek |
author_sort |
Henri E. Bal |
title |
Object Distribution in Orca using Compile-Time and Run-Time Techniques |
title_short |
Object Distribution in Orca using Compile-Time and Run-Time Techniques |
title_full |
Object Distribution in Orca using Compile-Time and Run-Time Techniques |
title_fullStr |
Object Distribution in Orca using Compile-Time and Run-Time Techniques |
title_full_unstemmed |
Object Distribution in Orca using Compile-Time and Run-Time Techniques |
title_sort |
object distribution in orca using compile-time and run-time techniques |
publishDate |
1993 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2833 |
genre |
Orca |
genre_facet |
Orca |
op_source |
ftp://ftp.lip6.fr/pub2/distributed_systems/amoeba/orca_papers/oopsla93.ps.gz |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.2833 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766160711350747136 |