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Experience report: erlang in acoustic ray tracing

Published: 20 September 2008 Publication History

Abstract

We investigated the relative merits of C++ and Erlang in the implementation of a parallel acoustic ray tracing algorithm for the U.S. Navy. We found a much smaller learning curve and better debugging environment for parallel Erlang than for pthreads-based C++ programming. Our C++ implementation outperformed the Erlang program by at least 12x. Attempts to use Erlang on the IBM Cell BE microprocessor were frustrated by Erlang's memory footprint.

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References

[1]
Lawrence E. Kinsler, Austin R. Frey, Alan B. Coppens, and James V. Sanders. Fundamentals of Acoustics, 4th Ed. Danvers, MA, USA: John Wiley & Sons, Inc., 2000. ISBN 0-471-84789-5
[2]
Joe Armstrong. Programming Erlang Raleigh, NC, USA: The Pragmatic Bookshelf, 2007. ISBN-13: 978-1-934356-00-5
[3]
Thomas Chen, Ram Raghavan, Jason Dale, Eiji Iwata. Cell Broadband Engine Architecture and its first implementation http://www.ibm.com/developerworks/power/library/pa-cellperf/
[4]
J.H. Reppy. Concurrent Programming in ML Cambridge University Press, 2007. ISBN-13: 978-0521714723

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Published In

cover image ACM Conferences
ICFP '08: Proceedings of the 13th ACM SIGPLAN international conference on Functional programming
September 2008
422 pages
ISBN:9781595939197
DOI:10.1145/1411204
  • cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 43, Issue 9
    ICFP '08
    September 2008
    399 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/1411203
    Issue’s Table of Contents
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2008

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Author Tags

  1. C++
  2. Erlang
  3. acoustic ray tracing

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ICFP08
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Overall Acceptance Rate 333 of 1,064 submissions, 31%

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