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Tutorial: Getting Started with OpenCL™ on Android* OS

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Autor admin Última actualización 17/05/2019 - 12:00
Article

Tutorial: Getting Started with RenderScript*

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Autor Última actualización 31/05/2019 - 14:40
Article

OpenCL™ Advanced Video Motion Estimation Tutorial

Download for Windows* Downlo

Autor Última actualización 31/05/2019 - 14:20
Mensajes en el blog

opencl_node basic interfaces and opencl_buffer

This post continues a series of articles that describes the opencl_node, a new node available in the Intel® Threading Building Blocks (Intel® TBB) library since version 4.4 Update 2.

Autor Alex (Intel) Última actualización 30/05/2018 - 07:08
Article

SPIR-V is a better SPIR with Intel® OpenCL™ Code Builder

Download the pdf version of the article

Autor Robert Ioffe (Intel) Última actualización 08/07/2019 - 14:19
Article

Hybrid HDR Tone Mapping for Post Processing Multi-Device Version

HDR Tone Mapping for Post Processing sample features multi-device support, specifically the simultaneous use of CPU and Intel® Processor Graphics OpenCL™ devices.
Autor Última actualización 18/09/2019 - 16:48
Article

Median Filter

The sample demonstrates how to implement efficient median filter with OpenCL™ standard. This implementation relies on auto-vectorization performed by Intel® SDK for OpenCL Applications compiler.
Autor Última actualización 15/10/2019 - 15:20
Article

Using Basic Capabilities of Multi-Device Systems with OpenCL™

Download for Windows*

Autor Última actualización 15/10/2019 - 16:50
Article

Simple Optimizations of OpenCL™ Code

Simple Optimizations sample demonstrates simple ways of measuring the performance of OpenCL™ kernels in an application. It describes basics of profiling and important caveats like having dedicated “warming” run. It also demonstrates several simple optimizations, some of optimizations are rather CPU-specific (like mapping buffers), while others are more general (like using relaxed-math). The...
Autor Última actualización 15/10/2019 - 16:50
Article

Bitonic Sorting

Demonstrates how to implement an efficient sorting routine with the OpenCL™ technology that operates on arbitrary input array of integer values. The sample uses properties of bitonic sequence and principles of sorting networks and enables efficient SIMD-style parallelism through OpenCL vector data types. The code is designed to work well on modern CPUs.
Autor Última actualización 15/10/2019 - 16:50