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Why P scales as C*V^2*f is so obvious (pt 2)

THE GORY DETAILS

Let’s continue from where we left off last time. Let’s figure out the why of the equation,

P = C * V^2 * (a * f)

Autor Última actualización 09/05/2019 - 22:55
Article

Experimental Cloud-based Ray Tracing Using Intel® MIC Architecture for Highly Parallel Visual Processing

The cloud is game-changing factor in computing. Companies are offering a service in which the game itself runs on servers in the cloud. It processes user interactions from the game client, & the server sends back a compressed, rendered image to the user.
Autor Daniel Pohl (Intel) Última actualización 06/07/2019 - 16:25
Article

Case Study: Parallelizing a Recursive Problem with Intel® Threading Building Blocks

Intel worked closely with DreamWorks Animation engineers to improve the performance of a key rendering system library by up to 35X performance improvement in some cases.
Autor Louis F. (Intel) Última actualización 10/07/2019 - 16:59
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
Article

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
Article

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
Article

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
Article

Cómo compartir superficies entre OpenCL™ y DirectX* 11 en Intel® Processor Graphics

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Autor Última actualización 31/05/2019 - 15:10
Article
Article

SIMD fácil mediante envolturas

SIMD operations are widely used for 3D graphics applications. This tutorial provides new insights into SIMD by comparing SIMD lanes and CPU threads, and steps you through the process of creating a simple, straightforward SIMD implementation in your own code.
Autor Última actualización 09/03/2019 - 12:48