opencl之code builder学习教程2

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本文介绍了Intel SDK for OpenCL Applications中的Code Builder工具，它是一个用于开发OpenCL应用程序的软件开发工具，支持Microsoft Visual Studio和Eclipse的插件，便于创建、构建、调试和分析Windows、Android及Linux平台上的OpenCL加速应用。

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Introducing Intel® SDK for OpenCL™Applications

OpenCL™ (OpenComputing Language) standardprovides a uniform programming environment for software developers to writeportable general-purpose parallel code for high-performance computing servers,client computer systems, and other computing systems. OpenCL is developed bymultiple companies through the Khronos* OpenCL committee, and Intel is a keycontributor to the OpenCL standard since its inception.

OpenCL™ Code builder is a software development tool availableas part of the Intel SDK for OpenCL applications. The Code Builder enables developmentof OpenCL applications via well-known integrated development environments,targeting the Intel® Architecture processors with the Intel® ProcessorGraphics.

The Code builder provides a set of MicrosoftVisual Studio* and Eclipse* plug-ins that enable capabilities for creating,building, debugging, and analyzing Windows*, Android*, and Linux* applicationsaccelerated with OpenCL™. In addition, a standalone GUI version is availablefor fast create and build. See the table below for the supported features.

You can acquire the Code builder as partof Intel®Media Server Studio suite.

OpenCL™ Code BuilderSupported Features:

Feature	Visual Studio*	Eclipse*	Beta	Stage of development
OpenCL* 1.2 Support	Yes	Yes		Create and Build
OpenCL* 2.0 Support with 5^th and 6^th generation Intel Core processors	Yes	Yes
OpenCL* 2.1 development environment on previous CPU generations	Yes	Yes
Kernel development framework	Yes	Yes
OpenCL Project wizard	Yes
Syntax highlighting	Yes	Yes
Code auto-completion	Yes	Yes
Offline compilation	Yes	Yes
SPIR* 1.2 generation and consumption	Yes	Yes
SPIR* V generation and consumption	Yes	Yes
Remote development for Android* OS	Yes
API-level debugging	Yes			Debug
Image and memory view	Yes
API call tracing	Yes
Step-by-step debugging for CPU kernels	Yes
Step-by-step debugging for GPU kernels	Yes		Yes
API calls and memory command analysis	Yes		Yes	Analyze
Kernel occupancy and latency analysis	Yes		Yes	Analyze