Simulation with models based on partial differential equations often requires the solution of
(sequences of) large and sparse algebraic linear systems. In multidimensional domains …

Iterative solutions of sparse linear systems and sparse eigenvalue problems have a
fundamental role in vital fields of scientific research and engineering. The crucial computing …

The efficiency of a sparse linear algebra operation heavily relies on the ability of the sparse
matrix storage format to exploit the computing power of the underlying hardware. Since no …

Many scientists and engineers who implement high performance computing (HPC) software
have adopted the object-oriented (OO) Fortran paradigm. One of the challenges faced by …

Recently, reverse engineering has become widely recognized as a valuable process for
extracting system abstractions and design information from existing software. This study …

While advance reservation is an essential capability for co-allocating several resources on
Grid environments, it is not obvious how it can co-exist with priority-based First Come First …

We apply object‐oriented software design patterns to develop code for scientific software
involving sparse matrices. Design patterns arise when multiple independent developments …

The popularity of GPGPUs in high performance platforms for scientific computing in recent
times has renewed interest in approximate inverse preconditioners for Krylov methods. We …

Hybrid nodes containing GPUs are rapidly becoming the norm in parallel machines. We
have conducted some experiments regarding how to plug GPU-enabled computational …

Graphics processing units (GPUs) have become an integral part of both High Performance
Computing (HPC) and desktop systems. To fully exploit their potential, algorithms should be …