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A Parallel Stable Sort Using C++11 for TBB, Cilk Plus, and OpenMP

This article describes a parallel merge sort code, and why it is more scalable than parallel quicksort or parallel samplesort. The code relies on the C++11 “move” semantics.

Authored by Last updated on 08/01/2019 - 09:30
File Wrapper

Parallel Universe Magazine - Issue 16, November 2013

Authored by admin Last updated on 12/12/2018 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 18, June 2014

Authored by admin Last updated on 05/16/2019 - 11:39
Article

Efficient Parallelization

This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.
Authored by Ronald W Green (Blackbelt) Last updated on 03/21/2019 - 12:00
Article

Vectorization Essentials

Vectorization essentials to effectively use feature in the Intel® Xeon product family
Authored by admin Last updated on 04/24/2019 - 10:57
Article

Choosing the right threading framework

This is the second article in a series of articles about High Performance Computing with the Intel Xeon Phi.

Authored by Last updated on 07/06/2019 - 16:30
Blog post

Graduate Intern at Intel - Parallel Ray-Tracing

Ray-tracing is a classic example of an embarrassingly parallel algorithm; since each pixel is typically independent of the rest, theoretically every pixel can be done in parallel (given enough core

Authored by Last updated on 06/14/2017 - 15:37
Blog post

Graduate Intern at Intel - Parallel N-Body

The N-Body problem is a classic example used frequently to demonstrate parallelization and how it improves performance.

Authored by Last updated on 06/14/2017 - 15:46
Article

Program Optimization through Loop Vectorization

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Download Program Optimization through Loop Vectorization [PDF 617KB]

Authored by Last updated on 07/06/2019 - 16:30
Article

Explicit Vector Programming – Best Known Methods

Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
Authored by Last updated on 04/24/2019 - 11:25