Upon completion of this webinar, you will be familiar with a number of data layout and algorithmic changes that can significantly improve the SIMD efficiency and performance of particle codes
Upon completion of this webinar, you will be familiar with how a given physical process be simulated on a computer efficiently.
As computing advances, parallel architectures are becoming more common. In order to take advantage of parallel systems, software must adapt and use more parallelism.
HPC codes have used MPI and similar models to scale to multiple nodes, but increasingly parallelism is also required within a node, and even within a single core.
Upon completion of this webinar, you will be familiar with parallel programming models and their optimized use on clusters of Intel® Xeon and Intel® Xeon Phi™ coprocessor.
Upon completion of this webinar, you will be familiar with advanced threading methods for the Intel® Xeon Phi™ coprocessor such as various approaches to nested paral
In this video episode 2.1 we will introduce Intel Xeon Phi coprocessors based on the Intel Many Integrated Core, or MIC, architecture and will cover some of the specifics of hardware implementation
In this video we will discuss the general properties of the Intel MIC architecture in detail, and then focus on vector instruction support.
Table of Contents:
We will discuss automatic vectorization feature of the compilers, where it can be used, and how to diagnose it. But this discussion will cover only basic principles of automatic vectorization.