More Than Ever, Vectorization and Multithreading are Essential for Performance
by Richard Friedman from Inside HPC & AI News | High-Performance Computing & Artificial Intelligence on (#2ZGGZ)
Employing a hybrid of MPI across nodes in a cluster, multithreading with OpenMP* on each node, and vectorization of loops within each thread results in multiple performance gains. In fact, most application codes will run slower on the latest supercomputers if they run purely sequentially. This means that adding multithreading and vectorization to applications is now essential for running efficiently on the latest architectures.
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