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Distributed High Performance Computing in Common Lisp

Published: 09 May 2016 Publication History

Abstract

High Performance Computing (HPC) is the Formula 1 of computer programming and deals with the solution of problems that have a practically inexhaustible demand for compute resources, e.g. accurate physics simulations. We present the library CL-MPI and how it can be applied to distribute scientific computing workloads over several Lisp images and computers. In particular, we describe our work towards the parallelization of Femlisp and the tools and techniques developed in the process. Femlisp is a Common Lisp framework for solving partial differential equations using the finite element method.

References

[1]
https://github.com/marcoheisig/cl-mpi.
[2]
https://github.com/sionescu/static-vectors.
[3]
http://www.femlisp.org/.
[4]
W. Gropp, E. Lusk, and A. Skjellum. Using MPI: Portable Parallel Programming with the Message-passing Interface. MIT Press, third edition, 2014.
[5]
L. J. Guibas and R. Sedgewick. A dichromatic framework for balanced trees. 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, 0:8-21, 1978.
[6]
Message Passing Interface Forum. MPI: A Message-Passing Interface Standard, Version 3.0. High Performance Computing Center Stuttgart (HLRS), 2012.

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ELS2016: Proceedings of the 9th European Lisp Symposium on European Lisp Symposium
May 2016
117 pages
ISBN:9782955747407

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European Lisp Scientific Activities Association

Publication History

Published: 09 May 2016

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  1. Distributed Computing
  2. MPI
  3. Parallelization

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