Ronald W. Green from the Intel Fortran support team will lead this discussion of Fortran OpenMP SIMD directives and use, vectorization, and optimizations that will get your development efforts powered.
Parallelism delivers the capability High Performance Computing (HPC) requires. The parallelism runs across several layers: super scalar, vector instructions, threading and distributed memory with message passing.
HPC cluster programming model number 1 has been MPI for the past 10 or more years. The Advent of coprocessors and accelerators forced many users to rethink their strategies and re-structure the code, even though a clever setup of Xeon Phi system allows to use them without being forced to do so. This webinar will present a number of techniques to help the system administrator with his task.
Upon completion of this webinar, you will be familiar with how a given physical process be simulated on a computer efficiently.
Developers of modern HPC applications face a challenge when scaling out their hybrid (MPI/OpenMP) applications. Cluster sizes continue to grow, the amount of analysis data collected can easily become overwhelming when going from 10s to 1000s of ranks and it’s tough to identify which are the key metrics to track.
The Intel® Performance Counter Monitor provides sample C++ routines and utilities to estimate the internal resource utilization of the latest Intel® Xeon® and Core™ processors and gain a significant performance boost.