PyACTS: A High-Level Framework for Fast Development of High Performance Applications
Leroy Anthony Drummond (Lawrence Berkeley National Laboratory)Vicente Galiano (Universidad Miguel Hernandez )
Osni Marques (Lawrence Berkeley National Laboratory)
Violeta Migallon (University of Alicante)
Jose Penades (University of Alicante)
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.
Keywords:
Large Scale Simulations in all areas of Engineering and Science, Numerical Methods (Linear algebra), Parallel and Distributed Computing,
