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Minimize frustration and maximize tuning effort with Amdahl's Law

I recently had a question from a customer who had introduced a succesful optimization to a hot function in his application, but did not see as much improvement in the overall application as he expe

Автор: Shannon Cepeda (Blackbelt) Последнее обновление: 14.06.2017 - 16:51
Article

IIR Gaussian Blur Filter Implementation using Intel® Advanced Vector Extensions

This white paper proposes an implementation for the Infinite Impulse Response (IIR) Gaussian blur filter using Intel® Advanced Vector Extensions (Intel® AVX) instructions. For a 2048x2048 image size, the AVX implementation is ~2X faster than the SSE code.
Автор: Brijender Bharti (Intel) Последнее обновление: 07.06.2017 - 12:19
Article

Intel Vectorization Technical Presentation Webinar

This presentation is for C, C++, and Fortran developers, and will help you get started understanding and evaluating vectorization using new technologies such as Intel® Cilk Plus, pragma SIMD and the Intel Compiler’s Guided Auto Parallelization report.
Автор: Последнее обновление: 07.06.2017 - 09:22
Article

Vectorization Toolkit

A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
Автор: AmandaS (Intel) Последнее обновление: 27.03.2019 - 13:34
Article

Intel Vectorization Toolkit: 3. Determine Loop Candidates Using Intel Compiler Vec-Report

Intel Vectorization Toolkit: 3. Vectorization report for loop candidates
Автор: AmandaS (Intel) Последнее обновление: 25.05.2018 - 15:30
Article

Intel Vectorization Toolkit: 4. Get Advice Using the Intel Compiler GAP Report and Toolkit Resources

Intel Vectorization Toolkit: 4. Get Advice Using the Intel Compiler GAP Report and Toolkit Resources
Автор: админ Последнее обновление: 21.03.2019 - 12:00
Article

Intel Vectorization Toolkit:5. Implement GAP Advice, Other Suggestions

Intel Vectorization Toolkit :5. Implement GAP Advice, Other Suggestions (such as pragma simd and/or array notations)
Автор: админ Последнее обновление: 07.06.2017 - 12:00
Article

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)
Автор: Martyn Corden (Intel) Последнее обновление: 22.08.2018 - 17:05
Article

Getting Started with Intel® Cilk™ Plus SIMD Vectorization and SIMD-enabled Functions

A tutorial on how to use #pragma simd and SIMD-enabled function features in Intel® Cilk™ Plus.
Автор: Последнее обновление: 25.05.2018 - 15:30
Article

Getting Started with Intel® Cilk™ Plus Array Notations

A simple introduction on how use Array Notations feature in Intel® Cilk™ Plus.
Автор: Последнее обновление: 25.05.2018 - 15:30