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

PSCTOOLKIT - a sparse linear algebra solutions
PSCTOOLKIT - a sparse linear algebra solutions

The EU Innovation Radar Platform has recognized PSCToolkit as “Excellent Science INNOVATION”.

School with Energy(oCoE)
School with Energy(oCoE)

How to exploit HPC and BigData for the energy transition? Register to the EoCoE school, online 26-28 April 2022.

Il software matematico: le sfide della ricerca sui supercalcolatori
Il software matematico: le sfide della ricerca sui supercalcolatori

Il software matematico è alla base della simulazione computazionale applicata nei più diversi settori, dalla fluidodinamica all’Intelligenza Artificiale, ed è determinante per lo sviluppo dei supercalcolatori. Cos’è, come funziona, storia, strumenti e metodologie… Read more on Agenda Digitale