PyCSP - Communicating Sequential Processes for Python

Publikation: KonferencebidragPaperForskningfagfællebedømt

Dokumenter

  • Brian Vinter
  • John Markus Bjørndalen
  • Otto Johan Anshus
The Python programming language is effective for rapidly specifying programs and experimenting with them. It is increasingly being used in computational sciences, and in teaching computer science. CSP is effective for describing concurrency. It has become especially relevant with the emergence of commodity multi-core architectures. We are interested in exploring how a combination of Python and CSP can benefit both the computational sciences and the hands-on teaching of distributed and parallel computing in computer science. To make this possible, we have developed PyCSP, a CSP library for Python. PyCSP presently supports the core CSP abstractions. We introduce the PyCSP library, its implementation, a few performance benchmarks, and show example code using PyCSP. An early prototype of PyCSP has been used in this year's Extreme Multiprogramming Class at the CS department, university of Copenhagen with promising results.
OriginalsprogEngelsk
Publikationsdato2008
Antal sider248
StatusUdgivet - 2008
BegivenhedPARA 2008 - 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing - Trondheim, Norge
Varighed: 16 maj 200813 maj 2009
Konferencens nummer: 9

Konference

KonferencePARA 2008 - 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing
Nummer9
LandNorge
ByTrondheim
Periode16/05/200813/05/2009

Bibliografisk note

Sider: 229

Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk


Ingen data tilgængelig

ID: 9198366