How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Digital Security and Surveillance on 4th generation Intel® Core™ processors Using Intel® System Studio 2015This article presents the advantages of developing embedded digital video surveillance systems to run on 4th generation Intel® Core™ processor with Intel® HD Graphics, in combination with the Intel® System Studio 2015 software development suite. While Intel® HD Graphics is useful for developing many types of computer vision functionalities in video management software; Intel® System Studio...
The Intel® Xeon Phi™ processor, code named Knights Landing, is part of the second generation of Intel Xeon Phi products. Knights Landing supports Intel® AVX-512 instructions, specifically AVX-512F (foundation), AVX-512CD (conflict detection), AVX-512ER (exponential and reciprocal) and AVX-512PF (prefetch).
This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.
The latest Intel® Architecture Instruction Set Extensions Programming Reference includes the definition of Intel® Advanced Vector Extensions 512 (Intel® AV
SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.