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Vectorization Series, Part 2- Who Can Use It?

In my last blog, I introduced the concept of vectorization, which is parallelism across data elements in a regi

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

Intel® Cilk™ Plus – AOBench Sample

This is the AOBench example associated with the "Intel® Cilk™ Plus – The Simplest Path to Parallelism" how-to article.  It shows an Ambient Occlusion algorithm implemented as serial loops, one us
Автор: Последнее обновление: 25.05.2018 - 15:30
Блоги

Parallel Universe Magazine #12: Advanced Vectorization

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

Автор: Последнее обновление: 03.07.2019 - 20:08
Article

Best Practices for Using Intel® Cilk™ Plus

Performance tuning of an existing application is truly a challenge and it depends on a lot of factors like the nature of algorithm the application works on, if the implementation is scalable

Автор: Anoop M. (Intel) Последнее обновление: 25.05.2018 - 15:30
Article

Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

Автор: Anoop M. (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Vectorizing Loops with Calls to User-Defined External Functions

Introduction

Автор: Anoop M. (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Parallel Computation of Sparse Rulers

This article explains the sparse ruler problem, two parallel codes for computing sparse rulers, and some new results that reveal a surprising "gap" behavior for solutions to the sparse ruler proble

Автор: Последнее обновление: 07.06.2017 - 10:37
Article

Trusted Tools in the New Android* World: Optimization Techniques - from Intel® SSE Intrinsics to Intel® Cilk™ Plus

Author: Zvi Danovich, Senior SW Application Engineer, Intel

Автор: Zvi Danovich (Intel) Последнее обновление: 24.02.2017 - 12:46
Блоги

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00