AutoPar-Clava
Hamid Arabnejad, João Bispo, Jorge G. Barbosa, João M. P. Cardoso · 2018
Automatic parallelization of sequential code has become increasingly relevant in multicore programming. In particular, loop parallelization continues to be a promising optimization technique for scientific applications, and can provide considerable speedups for program execution. Furthermore, if we can verify that there are no true data dependencies between loop iterations, they can be easily parallelized.