Performance essentials using OpenMP* 4.0 vectorization with C/C++
This webinar teaches you about vectorization: what it is and why you should care about it as a software developer. It will cover terms such as SIMD and vectorization, vector lanes, vector length and discusses performance expectations per core. It will also explores the tradeoff between using compiler autovectorization versus explicit vector programming versus SIMD intrinsics and assembly. It compares explicit vector programming as being similar to explicit parallel programming using OpenMP* parallelism constructs, where the developer takes control and responsibility for vectorizing specified loops. also gives quick examples of the two big ideas in explicit vector programming: omp SIMD loops, and SIMD-enabled functions enabled with the pragma omp declare simd family of constructs.
Intel® Cilk™ Plus – an extension to the C and C++ languages to support data and task parallelism – is described in this webinar. This extension is deprecated in the 2018 release of Intel® Software Development Tools. It will remain in deprecation mode in the Intel® C++ Compiler for an extended period of two years. It is highly recommended that you start migrating to standard parallelization models such as OpenMP* and Intel® Threading Building Blocks (Intel® TBB). For more information see Migrate Your Application to use OpenMP* or Intel® TBB Instead of Intel® Cilk™ Plus.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.