ScaLAPACK user's guide
LAPACK Users' guide (third ed.)
LAPACK Users' guide (third ed.)
MPI-The Complete Reference, Volume 1: The MPI Core
MPI-The Complete Reference, Volume 1: The MPI Core
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
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Parallel Computing - Special issue: Parallel and distributed scientific and engineering computing
Parallel netCDF: A High-Performance Scientific I/O Interface
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Journal of Parallel and Distributed Computing
SWIG: an easy to use tool for integrating scripting languages with C and C++
TCLTK'96 Proceedings of the 4th conference on USENIX Tcl/Tk Workshop, 1996 - Volume 4
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Many computational applications rely heavily on numerical linear algebra operations. A good number of these applications are data and computation intensive that need to run in high performance computing environments. The ACTS Collection brings robust and high-end software tools to the hands of application developers. However, this transfer of technology is not always successful due in part to the intricacy of the interfaces associated with the software tools. To alleviate this, here we present PyACTS, a set of Python based interfaces to some of the tools in the ACTS collection. We illustrate some examples of these interlaces and their performance, and evaluate not only their performance but also how user friendly they are compared to the original calls. We also present some examples of scientific applications that use PyACTS.