Rapid prototyping frameworks for developing scientific applications: A case study

Authors:
Christopher D. Rickett;Sung-Eun Choi;Craig E. Rasmussen;Matthew J. Sottile
Affiliations:
Aff1 Aff2;Los Alamos National Laboratory, Los Alamos 87545;Los Alamos National Laboratory, Los Alamos 87545;Los Alamos National Laboratory, Los Alamos 87545
Venue:
The Journal of Supercomputing
Year:
2006

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Abstract

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.