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Efficient loop-level parallelism in Ada

Authors:

Michael Hind,

Edmond SchonbergAuthors Info & Claims

TRI-Ada '91: Proceedings of the conference on TRI-Ada '91: today's accomplishments; tomorrow's expectations

Pages 166 - 179

https://doi.org/10.1145/126551.126568

Published: 01 December 1991 Publication History

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References

[1]

American National Standards Institute. A da Programming Language Military Standard. Technical report, American National Standards Institute, January 1983. ANSI/MIL-STD-1815A.]]

Google Scholar

[2]

Anders Ardo. Real-Time Efficiency of Ada in a Multiprocessor Environment. In International Workshop on Real-Time A da Issues, Fall 1987. Aria Letters 7(6).]]

Digital Library

Google Scholar

[3]

Wayne Berke. ParFOR- A Structured Environment for Parallel FORTRAN. ~fechnical report, New York University, April 1988. Ultracomputer Note ~137.]]

Google Scholar

[4]

E.K. Blum. Programming Parallel Numerical Algorithms in Ada. In J.K. Reid, editor, The Relalioasbip Between N'umerical Computation and Programming Languages, pages 297-304. IFiP TC2, North-Holland Publishing Company, August 1981.]]

Digital Library

Google Scholar

[5]

Thomas M. Burger and Kjell W. Nielsen. An Assessment of the Overhead Associated with Tasking Facilities and Task Paradigms in Ada. Ada Letters, 7(1):49-58, January 1987.]]

Digital Library

Google Scholar

[6]

A. Burns. Efficient Initialisation }Routines for Multiprocessor Systems Programmed in Ada. Ada Letters, 5(1):55-60, July 1985.]]

Digital Library

Google Scholar

[7]

Donald R. Clarson. Proposal for Adding Discriminants for Ada Task Types. Ada Letters, 8(5), September 1987.]]

Digital Library

Google Scholar

[8]

Ron Cytron. Personal communication, March 1991.]]

Google Scholar

[9]

Robert B. K. Dewar, Gerald A. Fisher Jr., Edmond Schonberg, Robert Froehlich, Stephen Bryant, Clinton F. Goss, and Michael Burke. The NYU Ada Translater and Interpreter. In A CM-SIGPLAN Symposium on the Ada Programming Languages, pages 194-201, November 1980. S{GPLAN Notices 15(11).]]

Digital Library

Google Scholar

[10]

Kenneth W. Dritz. Personal coramunication, August 1990.]]

Google Scholar

[11]

Kenneth W. Dritz. Tutorial on Parallel Programming in Ada. Presented at the Eighth Annual National Conference on Ada Technology, Atlanta, Georgia, March 1990.]]

Google Scholar

[12]

A. Gottlieb, R. Grishman, C.P. Kruskal, K.P. McAuliffe, L. Rudolph, and M Snir. The NYU Ultracomput. er- Designing an MIMD Shared Memory Parallel Computer. IEEE Transactions on Compullng, February 1983.]]

Digital Library

Google Scholar

[13]

A. Gottlieb, B. D. Lubachevsky, and L. Rudolph. Basic Techniques for Efficient Coordination of Very Large Numbers of Cooperating Sequential Processors. A CM Transacttons on Programming Languages and Systems, 5(2):164-189, April 1983.]]

Digital Library

Google Scholar

[14]

Paul N. Hilfinger. Absiraciioa Mecbanisrns and Language Design. MIT Press, 1982.]]

Digital Library

Google Scholar

[15]

Paul N. Hilfinger. Implementation Strategies for Ada Tasking Idioms. In Proceedings of the AdaTEC Conference on Ada, 1982.]]

Google Scholar

[16]

Michael Hind. Efficie,i Loop-Level Parallehsm ia Ada. PhD thesis, New York University, 1991.]]

Digital Library

Google Scholar

[17]

Susan Flynn Hummel. SMARTS- Shared- Memory Mult~processor Ada Run T~me Supervisor. PhD thesis, New York University, December 1988.]]

Google Scholar

[18]

Geoffrey Hunter. The Fate of FORTRAN- 8X. Communications of the A CM, April 1990.]]

Google Scholar

[19]

IBM. VAST-2 for VS FORTRAN User's Guide. Technical report. International Business Machines, December 1989. Pub. No. SC26-4668-0.]]

Google Scholar

[20]

Anita Osterhaug, editor. Guzd~ to Parallel Programming on Sequent Computer Syslems. Sequent Technical Publications, 1989.]]

Digital Library

Google Scholar

[21]

Parallel Computing Forum. PCF FOR- TRAN: Language Definition, August 1988.]]

Google Scholar

[22]

G.F. Pfister, W. C. Brantley, D. A. George, S. L. Harvey, W. J. Kleinfelder, K. P. McAuliffe, E. A. Melton, V. A. Norton, and J. Weiss. The IBM Research Parallel Processor Prototype RP3: Introduction and Architecture. In international Conference on Parallel Processing, pages 764-771, 1985.]]

Google Scholar

[23]

Edith Schonberg and Edmond Schonberg. Highly' Parallel Ada- Ada on an Ultracompurer. In Ada i~ Use: Proceedings of the Ada Inlernational Confereace, 1985. Special edition of Ada Letters, 5(2), September 1985.]]

Digital Library

Google Scholar

[24]

Shaula Yemini. On the Suitability of Ada Multitasking for Expressing Parallel Algorithms, in Proceedings of the A daTEC Conference on A da, 1982.]]

Digital Library

Google Scholar

Cited By

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Taft SMoore BPinho LMichell S(2014)Safe parallel programming in ada with language extensionsACM SIGAda Ada Letters10.1145/2692956.266318134:3(87-96)Online publication date: 18-Oct-2014
https://dl.acm.org/doi/10.1145/2692956.2663181
Taft SMoore BPinho LMichell SFeldman MTaft T(2014)Safe parallel programming in ada with language extensionsProceedings of the 2014 ACM SIGAda annual conference on High integrity language technology10.1145/2663171.2663181(87-96)Online publication date: 18-Oct-2014
https://dl.acm.org/doi/10.1145/2663171.2663181
Moore BMichell SPinho L(2013)Parallelism in AdaACM SIGAda Ada Letters10.1145/2552999.255300233:2(14-32)Online publication date: 8-Nov-2013
https://dl.acm.org/doi/10.1145/2552999.2553002
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Index Terms

Efficient loop-level parallelism in Ada
1. Computing methodologies
  1. Parallel computing methodologies
    1. Parallel programming languages
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Parallel programming languages

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Published In

TRI-Ada '91: Proceedings of the conference on TRI-Ada '91: today's accomplishments; tomorrow's expectations

December 1991

542 pages

ISBN:0897914457

DOI:10.1145/126551

Chairman:
Judy Bamberger
Software Engineering Institute, Pittsburgh, PA

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 December 1991

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Tri-Ada91

Sponsor:

SIGAda

Tri-Ada91: Todays Accomplishments; Tomorrows Expectations

October 21 - 25, 1991

California, San Jose, USA

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Cited By

View all

Taft SMoore BPinho LMichell S(2014)Safe parallel programming in ada with language extensionsACM SIGAda Ada Letters10.1145/2692956.266318134:3(87-96)Online publication date: 18-Oct-2014
https://dl.acm.org/doi/10.1145/2692956.2663181
Taft SMoore BPinho LMichell SFeldman MTaft T(2014)Safe parallel programming in ada with language extensionsProceedings of the 2014 ACM SIGAda annual conference on High integrity language technology10.1145/2663171.2663181(87-96)Online publication date: 18-Oct-2014
https://dl.acm.org/doi/10.1145/2663171.2663181
Moore BMichell SPinho L(2013)Parallelism in AdaACM SIGAda Ada Letters10.1145/2552999.255300233:2(14-32)Online publication date: 8-Nov-2013
https://dl.acm.org/doi/10.1145/2552999.2553002
Burns A(2013)Parallel AdaACM SIGAda Ada Letters10.1145/2552999.255300133:2(9-13)Online publication date: 8-Nov-2013
https://dl.acm.org/doi/10.1145/2552999.2553001
Michell SMoore BPinho L(2013)Tasklettes – A Fine Grained Parallelism for Ada on MulticoresReliable Software Technologies – Ada-Europe 201310.1007/978-3-642-38601-5_2(17-34)Online publication date: 2013
https://doi.org/10.1007/978-3-642-38601-5_2
Ali HPinho LSward RBoleng J(2011)A parallel programming model for adaProceedings of the 2011 ACM annual international conference on Special interest group on the ada programming language10.1145/2070337.2070350(19-26)Online publication date: 6-Nov-2011
https://dl.acm.org/doi/10.1145/2070337.2070350
Ali HPinho L(2011)A parallel programming model for adaACM SIGAda Ada Letters10.1145/2070336.207035031:3(19-26)Online publication date: 6-Nov-2011
https://dl.acm.org/doi/10.1145/2070336.2070350
Paprzycki MZalewski J(1997)Parallel computing in AdaACM SIGAda Ada Letters10.1145/249100.249112XVII:2(55-62)Online publication date: 1-Mar-1997
https://dl.acm.org/doi/10.1145/249100.249112

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