The development of high performance dense linear algebra (DLA) critically depends on
highly optimized BLAS, and especially on the matrix multiplication routine (GEMM). This is …

Reliability is a key challenge to be understood to turn the vision of exascale supercomputing
into reality. Inevitably, large-scale supercomputing systems, especially those at the …

(57) ABSTRACT A method and system are described that enhance the compu tational
simulation, such as a? uid? owing through a porous media, under the present techniques. In …

Solving large sparse linear systems is often the most computationally intensive component
of many scientific computing applications. In the past, sparse multifrontal direct factorization …

Porous media processes involve various physical phenomena such as mechanical
deformation, transport, and fluid flow. Accurate simulations must capture the strong …

The advent of extreme scale machines will require the use of parallel resources at an
unprecedented scale, probably leading to a high rate of hardware faults. High Performance …

Parallel computing in heterogeneous environments is drawing considerable attention due to
the growing number of these kind of systems. Adapting existing code and libraries to such …

Scientific and engineering computing rely heavily on linear algebra for large-scale data
analysis, modeling and simulation, machine learning, and other applied problems. Sparse …

Parallel computing in heterogeneous environments is drawing considerable attention due to
the growing number of these kind of systems. Adapting existing code and libraries to such …

The advent of multicore systems, joined to the potential acceleration of the graphics
processing units, alleviates some well known important architectural problems at the …