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Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

作者: 最后更新时间: 2019/07/03 - 20:08
Article

Diagnostic 15523: Loop was not vectorized: cannot compute loop iteration count before executing the loop.

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article
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Big Datasets from Small Experiments

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 18:46
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Brain Development Simulation, 300x Faster

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 17:45
Article

Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/21 - 03:01
Article

Intel® AVX2 optimization in Intel® MKL

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.
作者: 最后更新时间: 2019/10/15 - 16:50
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BKMs on the Use of the SIMD Directive

We had an ask from one of the various "Birds of a Feather" meetings Intel® holds at venues such as at the Super Computing* (SC) and International Super Computing* (ISC) conferences.

作者: 最后更新时间: 2019/10/15 - 17:45