PyACTS: a high-level framework for fast development of high performance applications

Authors:
L. A. Drummond;V. Galiano;O. Marques;V. Migallón;J. Penadés
Affiliations:
Lawrence Berkeley National Laboratory, Berkeley, California;Departamento de Física y Arquitectura de Computadores, Universidad Miguel Hernández, Elche, Alicante, Spain;Lawrence Berkeley National Laboratory, Berkeley, California;Departamento de Ciencia de la Computación e Inteligencia Artificial, Universidad de Alicante, Alicante, Spain;Departamento de Ciencia de la Computación e Inteligencia Artificial Universidad de Alicante, Alicante, Spain
Venue:
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Year:
2006

Citing 7
Cited 2

ScaLAPACK user's guide

ScaLAPACK user's guide
LAPACK Users' guide (third ed.)

LAPACK Users' guide (third ed.)
Geophysical data analysis using Python

Computers & Geosciences
A Computational Strategy for the Solution of Large Linear Inverse Problems in Geophysics

IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Introduction to the special issue on the Advanced CompuTational Software (ACTS) collection

ACM Transactions on Mathematical Software (TOMS) - Special issue on the Advanced CompuTational Software (ACTS) Collection
An overview of the Advanced CompuTational Software (ACTS) collection

ACM Transactions on Mathematical Software (TOMS) - Special issue on the Advanced CompuTational Software (ACTS) Collection
Introduction to PYTHON 2.6

Introduction to PYTHON 2.6

PyPnetCDF: A high level framework for parallel access to netCDF files

Advances in Engineering Software
High-level user interfaces for the DOE ACTS collection

PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Software reusability has proven to be an effective practice to speed-up the development of complex high-performance scientific and engineering applications. We promote the reuse of high quality software and general purpose libraries through the Advance CompuTational Software (ACTS) Collection. ACTS tools have continued to provide solutions to many of today's computational problems. In addition, ACTS tools have been successfully ported to a variety of computer platforms; therefore tremendously facilitating the porting of applications that rely on ACTS functionalities. In this contribution we discuss a high-level user interface that provides a faster code prototype and user familiarization with ACTS tools. The high-level user interfaces have been built using Python. Here we focus on Python based interfaces to ScaLAPACK, the PyScaLAPACK component of PyACTS. We briefly introduce their use, functionalities, and benefits. We illustrate a few simple example of their use, as well as exemplar utilization inside large scientific applications. We also comment on existing Python interfaces to other ACTS tools. We present some comparative performance results of PyACTS based versus direct LAPACK and ScaLAPACK code implementations.