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.

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英特尔的编译器针对非英特尔微处理器的优化程度可能与英特尔微处理器相同(或不同)。这些优化包括 SSE2、SSE3 和 SSSE3 指令集和其他优化。对于在非英特尔制造的微处理器上进行的优化,英特尔不对相应的可用性、功能或有效性提供担保。该产品中依赖于微处理器的优化仅适用于英特尔微处理器。某些非特定于英特尔微架构的优化保留用于英特尔微处理器。关于此通知涵盖的特定指令集的更多信息,请参阅适用产品的用户指南和参考指南。

通知版本 #20110804