Chronos is GPU ready

Chronos is GPU ready

The paper with the results of the multi-GPU implementation of Chronos is available here and it has been submitted to IJHPCA.

In the paper we show how the adaptive FSAI, an approximate inverse characterized by a very high degree of parallelism, can be successfully implemented on a distributed memory computer equipped with GPU accelerators. Taking advantage of  GPUs in adaptive FSAI set-up is not a trivial task, nevertheless we show through an extensive numerical experimentation how the proposed approach outperforms more traditional preconditioners and results in a close-to-ideal behaviour in challenging linear algebra problems.

Next step is the porting on the FPGA systems.

The Chronos library is available for research purpose at

Marconi 100 Supercomputer (courtesy of CINECA)