OpenCL est une API portable permettant de faire du calcul parallèle sur Carte Graphique ou Processeur. Il y a donc de grandes chances que votre PC supporte OpenCL.
Analyzing OpenCL applications with Intel® VTune™ Amplifier XE
In this last installment of the OpenCL and Intel Graphics Webinar Series, you will learn about the Intel® VTune™ Amplifier XE and how it works with Intel Graphics. With its new programmability features, the Intel VTune Amplifier XE provides the tools needed to tune applications running on both the CPU and Intel Graphics with OpenCL.
The Multi-Device Basic sample is an example of utilizing capabilities of a multi-device system.
This sample targets systems with multiple Intel® Xeon Phi™ coprocessor devices. The guidelines and methods provided in this sample are also applicable to multi-device systems with CPU and GPU devices, or a CPU and one Intel® Xeon Phi™ coprocessor device.
The Multi-Device Basic sample provides an example of three basic scenarios with simultaneous utilization of multiple devices under the same system:
<h2>Features / Description</h2>
<p>The Multi-Device Basic sample is an example of utilizing the capabilities of a multi-device system<br />
This sample targets systems with multiple Intel® Xeon Phi™ coprocessor devices.<br />
The Multi-Device Basic sample exemplifies three basic scenarios of simultaneous utilization of multiple devices under the same system:</p>
Features / Description
Simple Optimizations sample demonstrates simple ways of measuring the performance of OpenCL* kernels in an application. It discusses the 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 sample also shows how to employ the OpenCL* profiling events.
Features / Description
Demonstrates how to implement an efficient sorting routine in OpenCL*.
- Operates on arbitrary input array of integer values
- Utilizes properties of bitonic sequence and principles of sorting networks
- Enables efficient SIMD-style parallelism through OpenCL* vector data types
- Fits modern CPUs
Supported Devices: CPU, Intel® Processor Graphics, Intel® Xeon Phi™ coprocessor
Supported OS: Windows* OS
Complexity Level: Intermediate
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