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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

Autor Anoop M. (Intel) Última actualización 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

Autor Anoop M. (Intel) Última actualización 12/12/2018 - 18:00
Article

SignalR HubConnection.TraceWriter using Event Log

I needed a better way to Trace what my Windows Service was doing while communicating with my SignalR Hub.  Looking over HubConnection.TraceWriter it turns out that it's pretty easy to roll your own

Autor Kevin P. (Intel) Última actualización 23/06/2019 - 18:50
Article

GPU-Quicksort in OpenCL 2.0: Nested Parallelism and Work-Group Scan Functions

Introduction A Brief History of Quicksort
Autor Robert I. (Intel) Última actualización 31/05/2019 - 14:20
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Sierpiński Carpet in OpenCL* 2.0

We demonstrate how to create a Sierpinski Carpet in OpenCL* 2.0

Autor Robert I. (Intel) Última actualización 31/05/2019 - 14:20
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Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Autor Mike P. (Intel) Última actualización 04/07/2019 - 19:51
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The Generic Address Space in OpenCL™ 2.0

Introduction What is the Generic Address Space?
Autor Adam Lake (Intel) Última actualización 03/07/2019 - 10:34
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Archived - Intel® RealSense™ SDK Code Samples

Kickstart your use of the Intel® RealSense™ SDK with twelve simple C# code samples. Build simple console applications to demonstrate camera calibration and device enumeration, emotion, face, hand, and speech modalities, object tracking, segmentation, and camera streams.
Autor Última actualización 13/12/2018 - 14:10
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GPU-Quicksort в OpenCL 2.0: вложенные параллельные вычисления и сканирование групп обработки

Введение Краткий курс истории алгоритма быстрой сортировки
Autor Última actualización 31/05/2019 - 14:20
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Using OpenCL™ 2.0 Read-Write Images

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Autor Última actualización 31/05/2019 - 14:20