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.
We demonstrate how to create a Sierpinski Carpet in OpenCL 2.0
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.
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.
The Intel® Media SDK Interoperability sample demonstrates how to use Intel® Media SDK and OpenCL™ technology together for efficient video decoding and fast post-processing.
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