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.
This white paper proposes an implementation for the Infinite Impulse Response (IIR) Gaussian blur filter using Intel® Advanced Vector Extensions (Intel® AVX) instructions. For a 2048x2048 image size, the AVX implementation is ~2X faster than the SSE code.
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.