The Parallel Mathematical Libraries Project (PMLP): Overview, Design Innovations, and Preliminary Results

Authors:
Lubomir Birov;Arkady Prokofiev;Yuri Bartenev;Anatoly Vargin;Avijit Purkayastha;Yoginder Dandass;Vladimir Erzunov;Elena Shanikova;Anthony Skjellum;Purushotham Bangalore;Eugeny Shuvalov;Vitaly Ovechkin;Nataly Frolova;Sergey Orlov;Sergey Egorov
Affiliations:
-;-;-;-;-;-;-;-;-;-;-;-;-;-;-
Venue:
PaCT '999 Proceedings of the 5th International Conference on Parallel Computing Technologies
Year:
1999

Citing 8
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Abstract

In this paper, we present a new, parallel, mathematical library suite for sparse matrices. The Parallel Mathematical Libraries Project (PMLP), a joint effort of Intel, Lawrence Livermore National Laboratory, the Russian Federal Nuclear Laboratory (VNIIEF), and Mississippi State University (MSU), constitutes a concerted effort to create a supportable, comprehensive "Sparse Object-oriented Mathematical Library Suite." With overall design and software validation work at MSU, most software development and testing at VNIIEF, and logistics and other miscellaneous support provided by LLNL and Intel, this international collaboration brings object-oriented programming techniques and C++ to the task of providing linear and non-linear algebraic-oriented algorithms for scientists and engineers. Language bindings for C, Fortran-77, and C++ are provided.