This article completes an analysis of a problem erroneously reported on the Intel® Developer Zone forum: Vectorization failed because of unsigned integer? It provides a more detailed examination showing that unsigned integer is not impacting compiler vectorization but what methodology to use when a modern C/C++ compiler fails to auto-vectorize for-loops.
This recipe describes a step-by-step process of how to get, build, and run NAMD, Scalable Molecular Dynamic, code on Intel® Xeon Phi™ processor and Intel® Xeon® E5 processors for better performance.
The Intel® Xeon® processor E5-2600 v4 product family, code-named Broadwell EP, is a two-socket platform based on Intel’s most recent microarchitecture. Intel uses a “tick-tock” model associated with its generation of processors. This new generation is a “tick” based on 14nm process technology. Major architecture changes take place on a “tock,” while minor architecture changes and a die shrink...
Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) . It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL)  to improve the performance of an NB algorithm.
The generation of Huffman codes is used in many applications, among them the DEFLATE compression algorithm. The classical way to compute these codes uses a heap data structure. This approach is fairly efficient, but traditional software implementations contain lots of branches that are data-dependent and thus hard for general-purpose CPU hardware to predict. On modern processors with deep...
Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
3D Isotropic Acoustic Finite-Difference Wave Equation Code: A Many-Core Processor Implementation and Analysis
Finite difference is a simple and efficient mathematical tool that helps solve differential equations.
The Storage Performance Development Kit (SPDK) is an open source set of tools and libraries hosted on GitHub that helps developers create high-performance and scalable storage applications. This tutorial will focus on the userspace NVMe driver provided by SPDK and will step you through a Hello World example.
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.
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