Parallel Sparse Computation Toolkit

Documentation and Examples

Everything is documented, many examples available

Continuous Development

Development driven by new scientific challenges

GitHub Repositories

All the code is available on GitHub

Sparse linear algebra is essential for a wide variety of scientific applications. The availability of massively parallel sparse solvers and preconditioners lies at the core of pretty much all multi-physics and multi-scale simulations. Technology is nowadays expanding to target exascale platforms. With this work, we then try to face these challenges by developing both algorithmic and theoretical strategies to make Exascale Computing possible.

The libraries contained here cover both the needs of having both parallel BLAS feature for sparse matrices that are capable of running on machines with thousands of high-performance cores, both the construction of higher-level iterative solvers and preconditioners exploiting these capabilities.

:star: Recognized as excellent innovation in the EU Innovation Radar.

Latest Posts

AMG4PSBLAS Version 1.0 - RC1
AMG4PSBLAS Version 1.0 - RC1

The AMG4PSBLAS development team gladly announce the release of version 1.0 (release candidate 1 — rc1) of the package.

EoCoE / META Group joint webinar
EoCoE / META Group joint webinar

Date: 02/02/2021, 9:00 AM – 12:00 PM CET

EXA2PRO-EoCoE joint workshop
EXA2PRO-EoCoE joint workshop

EoCoE and Exa2Pro are pleased to invite all of you to participate in a joint workshop that will showcase our respective, breakthrough work in the field of computer science.