Article

Using Basic Capabilities of Multi-Device Systems with OpenCL™

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Authored by Last updated on 05/31/2019 - 14:10
Article

Monte Carlo Method for Stock Options Pricing Sample

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Authored by Last updated on 05/31/2019 - 14:40
Article

OpenCL™ Platform/Device Capabilities Viewer Sample

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Authored by Last updated on 09/16/2019 - 10:46
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.
Authored by Last updated on 09/16/2019 - 10:49
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.
Authored by Last updated on 09/17/2019 - 13:26
Article

HDR Rendering with God Rays Using OpenCL™ Technology

This sample demonstrates a CPU-optimized implementation of the God Rays effect, showing how to: Implement calculation kernels using the OpenCL™ technology C99 Parallelize the kernels by running several work-groups in parallel Organize data exchange between the host and the OpenCL device
Authored by Last updated on 09/17/2019 - 13:50
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.
Authored by Last updated on 09/18/2019 - 16:24
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...
Authored by Last updated on 09/18/2019 - 16:33