Dense Triangular Solvers on Multicore Clusters using UPC

The popularity of Partitioned Global Address Space (PGAS) languages has increased during the last years thanks to their high programmability and performance through an effcient exploitation of data locality. This paper describes the implementation of effcient parallel dense triangular solvers in the PGAS language Unified Parallel C (UPC). The solvers are built on top of sequential BLAS functions and exploit the particularities of the PGAS paradigm. Furthermore, the numerical routines developed implement an automatic process that adapts the algorithms to the characteristics of the system where they are executed. The triangular solvers have been experimentally evaluated in two different multicore clusters and compared to message-passing based counterparts, demonstrating good scalability and effciency.