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Tutorial: Getting Started with OpenCL™ on Android* OS

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Автор: админ Последнее обновление: 17.05.2019 - 12:00
Article

Tutorial: Getting Started with RenderScript*

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Автор: Последнее обновление: 31.05.2019 - 14:40
Article

OpenCL™ Advanced Video Motion Estimation Tutorial

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Автор: Последнее обновление: 31.05.2019 - 14:20
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.
Автор: Последнее обновление: 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.
Автор: Последнее обновление: 15.10.2019 - 15:20
Article

Using Basic Capabilities of Multi-Device Systems with OpenCL™

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Автор: Последнее обновление: 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...
Автор: Последнее обновление: 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.
Автор: Последнее обновление: 15.10.2019 - 16:50
Article

General Matrix Multiply Sample

General Matrix Multiply (GEMM) sample demonstrates how to efficiently utilize an OpenCL™ device to perform general matrix multiply operation on two dense square matrices. The primary target devices that are suitable for this sample are the devices with cache memory: Intel® Xeon Phi™ and Intel® Architecture CPU devices.
Автор: Последнее обновление: 15.10.2019 - 16:50
Article

OpenCL™ Platform/Device Capabilities Viewer Sample

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Автор: Последнее обновление: 15.10.2019 - 16:50