Improving software performance on parallel software requires a structured approach that makes good use of development resources, obtaining good results quickly.
A melhoria de desempenho no software paralelo requer uma abordagem estruturada que faça um bom uso dos recursos de desenvolvimento, obtendo bons resultados rapidamente.
(This work was done by Vivek Lingegowda during his internship at Intel.)
Most multi-threaded software uses locking. Lock optimization traditionally has aimed to reduce lock contention, that is make the critical regions smaller.
Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism. It provides three new keywords to i
Video tutorial explaining how to parallelize a Pythagorean prime number finder using the Intel® Visual Fortran Compiler with OpenMP*.