Gilles Civario and Michael Lysaght from ICHEC show how to take advantage of the OpenMP 4.0 standard on Xeon and Intel Xeon Phi coprocessors to portably and efficiently maximize an N-body kernel on the entire available hardware. The chapter authors point out that the sample code can be used as a template applicable for countless of real live codes. By adapting this template to … [Read more...]

The chapter authors (Rio Yokota and Mustafa Abdul Jabbar) achieve roughly 1.5 TF/s single-precision performance when running an optimized direct N-body kernel on an Intel Xeon Phi coprocessor. This level of performance was achieved through the use of OpenMP, SIMD directives, and _mm512 intrinsics. The authors note the strong scalability of the execution was close to ideal, … [Read more...]

Chapter 9 of High Performance Parallelism Pearls presents several optimizations that are usually necessary to obtain good performance on an Intel Xeon Phi coprocessor that include: introducing a softening factor, exploring the impact of single- vs. double-precision, Improving tililing, utilizing an SoA (Structure of Arrays) layout, generating code that does not maintain IEEE … [Read more...]

The massively parallel mapping and code described in this chapter is generic and can be applied to a broad spectrum of numerical optimization and machine-learning algorithms ranging from neural networks to support vector machines to expectation maximization and independent components analysis. Many of these techniques are heavily used in lucrative data-mining and social media … [Read more...]