The frenetic development of the current architectures places a strain on the current state-of-
the-art programming environments. Harnessing the full potential of such architectures is a …

Publisher Summary This chapter presents a hybridization methodology for the development
of high-performance linear algebra software for graphics processing units (GPUs). The …

Emerging scientific application workflows are composed of heterogeneous coupled
component applications that simulate different aspects of the physical phenomena being …

The recent version of the Parallel Linear Algebra Software for Multicore Architectures
(PLASMA) library is based on tasks with dependencies from the OpenMP standard. The …

Our goal is to provide an analysis and comparison of static and dynamic strategies for task
graph scheduling on platforms consisting of heterogeneous and unrelated resources, such …

Multicore architectures with high core counts have come to dominate the world of high
performance computing, from shared memory machines to the largest distributed memory …

The goal of this paper is to present an efficient implementation of an explicit matrix inversion
of general square matrices on multicore computer architecture. The inversion procedure is …

La conception des plateformes d'échelle extrême qui devraient être disponibles dans la
décade à venir représenteront la convergence de tendances technologiques et définiront le …

Heterogeneity is emerging as one of the most challenging characteristics of today's parallel
environments. However, not many fully-featured advanced numerical, scientific libraries …

Modern high performance computing environments are composed of networks of compute
nodes that often contain a variety of heterogeneous compute resources, such as multicore …