Open AccessRapid prototyping frameworks for developing scientific applications: A case study
Author(s) -
Christopher D. Rickett,
Sung-Eun Choi,
C. E. Rasmussen,
Matthew Sottile
Publication year - 2006
Publication title -
the journal of supercomputing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.445
H-Index - 61
eISSN - 1573-0484
pISSN - 0920-8542
DOI - 10.1007/s11227-006-7953-6
Subject(s) - python (programming language) , computer science , rapid prototyping , software engineering , programming language , fortran , national laboratory , extensibility , factoring , operating system , mechanical engineering , engineering physics , finance , engineering , economics
In this paper, we describe a Python-based framework for the rapid prototyping of scientific applications. A case study was performed using a problem specification developed for Marmot, a project at the Los Alamos National Laboratory aimed at re-factoring standard physics codes into reusable and extensible components. Components were written in Python, ZPL, Fortran, and C++ following the Marmot component design. We evaluate our solution both qualitatively and quantitatively by comparing it to a single-language version written in C.
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