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Pandore: a system to manage data distribution

Authors:

Françoise André,

Jean-Louis Pazat,

Henry ThomasAuthors Info & Claims

ACM SIGARCH Computer Architecture News, Volume 18, Issue 3b

Pages 380 - 388

https://doi.org/10.1145/255129.255179

Published: 01 June 1990 Publication History

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Abstract

The goal of the Pandore system is to allow the execution of parallel algorithms on DMPCs (Distributed Memory Parallel Computers) without having to take into account the low-level characteristics of the target distributed computer to program the algorithm. No explicit process definition and interprocess communications are needed. Parallelization is achieved through logical data organization. The Pandore system provides the user with a mean to specify data partitioning and data distribution over a domain of virtual processors for each parallel step of his algorithm.

At compile time, Pandore splits the original program into parallel processes. Each process will execute some appropriate parts of the original code, according to the given data decomposition. In order to achieve a correct utilization of the data structures distributed over the processors, the Pandore system provides an execution scheme based on a communication layer, which is an abstraction of a message-passing architecture. This intermediate level is them implemented using the effective primitives of the real architecture (in our specific case, an Intel iPSC/2).

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Cited By

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Mehrotra PVan Rosendale JZima H(2006)High Performance Fortran: Status and prospectsApplied Parallel Computing Large Scale Scientific and Industrial Problems10.1007/BFb0095356(345-356)Online publication date: 20-Oct-2006
https://doi.org/10.1007/BFb0095356
Das RPonnusamy RSaltz JMavriplis D(1992)Distributed Memory Compiler Methods for Irregular Problems – Data Copy Reuse and Runtime Partitioning1 1This work is supported by NASA contract NAS1-18605 while the authors were in residence at ICASE, NASA Langley Research Center. In addition, support for author Saltz was provided by NSF from NSF grant ASC-8819374. The authors assume all responsibility for the contents of the paper.Languages, Compilers and Run-Time Environments for Distributed Memory Machines10.1016/B978-0-444-88712-2.50014-7(185-219)Online publication date: 1992
https://doi.org/10.1016/B978-0-444-88712-2.50014-7
André FPazat JThomas H(1992)Pandore: A System to Manage Data DistributionLanguages, Compilers and Run-Time Environments for Distributed Memory Machines10.1016/B978-0-444-88712-2.50013-5(177-184)Online publication date: 1992
https://doi.org/10.1016/B978-0-444-88712-2.50013-5
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Pandore: a system to manage data distribution

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Information

Published In

cover image ACM SIGARCH Computer Architecture News

ACM SIGARCH Computer Architecture News Volume 18, Issue 3b

Special Issue: Proceedings of the 4th international conference on Supercomputing

Sept. 1990

489 pages

ISSN:0163-5964

DOI:10.1145/255129

Chairmen:
Ahmed Sameh
Univ. of Illinois at Urbana-Champaign, Urbana
,
Henk van der Vorst
Delft Univ. of Technology and CWI, The Netherlands

Issue’s Table of Contents

ICS '90: Proceedings of the 4th international conference on Supercomputing
June 1990
492 pages
ISBN:0897913698
DOI:10.1145/77726
Chairmen:
Ahmed Sameh
Univ. of Illinois
,
Henk van der Vorst
Delft Univ. of Technology and CWI, The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1990

Published in SIGARCH Volume 18, Issue 3b

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Cited By

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Mehrotra PVan Rosendale JZima H(2006)High Performance Fortran: Status and prospectsApplied Parallel Computing Large Scale Scientific and Industrial Problems10.1007/BFb0095356(345-356)Online publication date: 20-Oct-2006
https://doi.org/10.1007/BFb0095356
Das RPonnusamy RSaltz JMavriplis D(1992)Distributed Memory Compiler Methods for Irregular Problems – Data Copy Reuse and Runtime Partitioning1 1This work is supported by NASA contract NAS1-18605 while the authors were in residence at ICASE, NASA Langley Research Center. In addition, support for author Saltz was provided by NSF from NSF grant ASC-8819374. The authors assume all responsibility for the contents of the paper.Languages, Compilers and Run-Time Environments for Distributed Memory Machines10.1016/B978-0-444-88712-2.50014-7(185-219)Online publication date: 1992
https://doi.org/10.1016/B978-0-444-88712-2.50014-7
André FPazat JThomas H(1992)Pandore: A System to Manage Data DistributionLanguages, Compilers and Run-Time Environments for Distributed Memory Machines10.1016/B978-0-444-88712-2.50013-5(177-184)Online publication date: 1992
https://doi.org/10.1016/B978-0-444-88712-2.50013-5
Chapman BMehrotra PZima H(1992)Vienna Fortran – A Fortran Language Extension for Distributed Memory Multiprocessors* *The work described in this paper is being carried out as part of the research project “Virtual Shared Memory for Multiprocessor Systems with Distributed Memory” funded by the Austrian Research Foundation (FWF) under the grant number P7576-TEC and the ESPRIT project “An Automatic Parallelization System for Genesis” funded by the Austrian Ministry for Science and Research (BMWF). This research was also supported by the National Aeronautics and Space Administration under NASA contract NAS1-18605 while the authors were in residence at ICASE, Mail Stop 132C, NASA Langley Research Center, Hampton, VA 23666. The authors assume all responsibility for the contents of the paper.Languages, Compilers and Run-Time Environments for Distributed Memory Machines10.1016/B978-0-444-88712-2.50007-X(39-62)Online publication date: 1992
https://doi.org/10.1016/B978-0-444-88712-2.50007-X
Pazat J(1991)Code generation for data parallel programs on DMPCsDistributed Memory Computing10.1007/BFb0032950(337-346)Online publication date: 1991
https://doi.org/10.1007/BFb0032950
Kalyur SNagaraja G(2017)Concerto: A Program Parallelization, Orchestration and Distribution Infrastructure2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS)10.1109/CSITSS.2017.8447691(1-6)Online publication date: Dec-2017
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Diaconescu RZima H(2007)An Approach To Data Distributions in ChapelInternational Journal of High Performance Computing Applications10.1177/109434200707845121:3(313-335)Online publication date: 1-Aug-2007
https://dl.acm.org/doi/10.1177/1094342007078451
Kennedy KKoelbel CZima HRyder BHailpern B(2007)The rise and fall of High Performance FortranProceedings of the third ACM SIGPLAN conference on History of programming languages10.1145/1238844.1238851(7-1-7-22)Online publication date: 9-Jun-2007
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Guidec FJézéquel J(2005)Polymorphic matrices in paladinObject-Based Parallel and Distributed Computation10.1007/3-540-61487-7_20(18-37)Online publication date: 7-Jun-2005
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Naohito SSatoshi MAkinori Y(2005)Hierarchical collections: An efficient scheme to build an object-oriented distributed class library for massively parallel computationObject Technologies for Advanced Software10.1007/3-540-60954-7_46(96-117)Online publication date: 7-Jun-2005
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