Blog post

Ultrabook Part 2: Intel® VTune™ Amplifier XE 2011 with Windows 8* and Visual Studio* 2012 RC

As I continue to explore different Ultrabook capabilities, in this blog I decided to look into a powerful threading and performance optimization tool for C/C++, .NET, and FORTRAN developers who nee

Authored by Jules Alfani (Intel) Last updated on 06/14/2017 - 16:35

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 Vadim Kartoshkin (Intel) Last updated on 06/01/2017 - 11:24

Cross-Device NBody Simulation Sample

This sample illustrates the basic principles of how to work simultaneously with OpenCL™ devices on both CPU and Intel® Processor Graphics.
Authored by Last updated on 06/01/2017 - 11:26

Video Conferencing using Intel® Media SDK

Features / Description
Authored by admin Last updated on 06/07/2017 - 10:41

Accelerate Performance Using OpenCL* with Intel® HD Graphics

Authored by Eli Hernandez (Intel) Last updated on 06/07/2017 - 10:42

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 Vadim Kartoshkin (Intel) Last updated on 06/01/2017 - 11:27

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 Vadim Kartoshkin (Intel) Last updated on 06/01/2017 - 11:25

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 06/01/2017 - 11:27

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.
Authored by Last updated on 06/01/2017 - 11:23
For more complete information about compiler optimizations, see our Optimization Notice.