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.

Latest Posts

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.

IAC Young Researchers Day. 2020
IAC Young Researchers Day. 2020

IAC Young Researchers Day. 2020 edition 2020-12-10 Day dedicated to the youngest researchers working in the institute.

(Sparse) Linear Algebra at the Extreme Scales
(Sparse) Linear Algebra at the Extreme Scales

NumPI seminars 2020-2021 - Numerical Analysis Seminars - Pisa - Tuesday, 01/12/2020, 16:00 CET by F. Durastante - IAC-CNR