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Intel® MKL and Intel® IPP: Choosing a High Performance FFT

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
作者: 最后更新时间: 2019/07/31 - 14:23
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Which applications are most likely to benefit from recompilation for Intel® Advanced Vector Extensions (Intel® AVX)?

Applications containing vectorizable, floating-point loops or calls to performance libraries are the most likely to see significant performance gains from rebuilding for the Intel® Advanced Vector Extensions (Intel® AVX)
作者: Martyn Corden (Intel) 最后更新时间: 2018/08/22 - 17:05
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Intel® VTune™ Amplifier XE - Profiling Windows* Services

Steps to profile Windows* services by Intel® VTune™ Amplifier XE
作者: Kirill R. (Intel) 最后更新时间: 2019/11/15 - 14:10
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Cache Blocking Techniques

Cache Blocking Techniques Overview

作者: AmandaS (Intel) 最后更新时间: 2019/09/30 - 17:28
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Vectorization and Optimization Reports

Optimization reports from the Intel® compilers guide the developer with optimization details
作者: Ronald W Green (Blackbelt) 最后更新时间: 2019/09/30 - 17:28
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Intel® Trace Collector Filtering

Filtering in the Intel® Trace Collector will apply specified filters to the trace collection process.  This directly reduces the amount of data collected.  The filter rules can be applied either vi

作者: James T. (Intel) 最后更新时间: 2019/07/06 - 19:14
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Webinar: Fortran Standard Parallel Programming Features

Fortran Standard Parallel Programming Features in Intel Compilers
作者: 最后更新时间: 2019/07/04 - 10:00
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Diagnostic 15310: xxxx was not vectorized: operation cannot be vectorized

Product Version: Intel® Fortran Compiler 15.0 and a later version 

作者: 管理 最后更新时间: 2020/03/19 - 11:50
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Diagnostic 15328 vectorization support: gather was emulated for the variable a: indirect access

Product Version: Intel® Fortran Compiler 15.0 and a later version 

作者: Devorah H. (Intel) 最后更新时间: 2020/03/19 - 11:50