Towards an automatic generation of dense linear algebra solvers on parallel architectures

This generation of Python bindings is also combined with the automatic generation of pythonic interface (e.g., use of special functions, error translation, memory management and

A Proposal for a Heterogeneous Cluster ScaLAPACK Dense Linear Solvers Vincent Boudet, Fabrice Rastello, Yves Robert.. To cite this version: Vincent Boudet, Fabrice Rastello,

Dense Linear Algebra Kernels on Heterogeneous Platforms: Redistribution Issue Olivier Beaumont, Arnaud Legrand, Fabrice Rastello, Yves Robert.. To cite this version: Olivier

To verify the floating-point solution of a linear system, we adapt floating-point iterative refinements to interval arithmetic [NR]. By using alternately floating-point and

This is not true for runtime systems based on task scheduling by work stealing such as libKOMP, libOMP or XKaapi which have very active threads that consume

One route to the parallel scalable solution of large sparse linear systems in parallel scientific computing is the use of hybrid methods that hierarchically combine direct and

Nowadays, chemists are very familiar with the use of a template to shift an equilibrium in favour of an otherwise non-favoured product. However, to advance the concept from how to

instead of Cutting Plane Method (CPM) may obtain more quick convergence speed, it becomes less effective when dealing with the large-scale training data sets; on the other hand,