| AMD Releases Production Version of Second-Generation Software Development Platform for ATI Stream Computing |
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| Written by Tyler O'Neal | |||
| Tuesday, 22 December 2009 12:49 | |||
Full Production ATI Stream SDK v2.0 Supports GPUs, x86 CPUs with Industry Standard OpenCL Development ToolsThis release of AMD’s ATI Stream SDK v2.0 provides developers, ISVs and OEMs with a production development environment that allows them to more easily accelerate applications. By enabling developers to utilize combined CPU and GPU computing power, ATI Stream technology helps developers to leverage heterogeneous architectures to improve the computing experience. The developer community, ISVs and OEMs are increasingly looking to harness the power and performance associated with heterogeneous architectures to develop applications that will run the way they were meant to be run – on all the available processors in a system. AMD plans to make regular updates with improvements and performance enhancements that will further allow developers, ISVs and OEMs to optimize CPU and GPU utilization for their applications. The production release of ATI Stream SDK v2.0 includes support for several new features, including: OpenCL ICD (Installable Client Driver), atomic function for 32-bit integers and a Microsoft Visual Studio 2008-integrated ATI Stream Profiler performance analysis tool. Preview support for upcoming features include: OpenGL and Microsoft DirectX 10 interoperability, and double-precision floating point basic arithmetic in OpenCL C kernels. With the introduction of OpenCL ICD, developers can easily support multiple vendors’ OpenCL-compliant products with their ATI Stream-enabled applications by querying and selecting, at runtime, the devices they wish to target. This makes it easier for developers to deploy ATI Stream-enabled applications and for customers to take advantage of ATI Stream acceleration on different platforms. The ATI Stream Profiler performance analysis tool makes it easy for developers using Microsoft Visual Studio to profile their ATI Stream-enabled applications and identify performance bottlenecks. Easily identifying the bottlenecks in their code allows developers to more quickly optimize and deploy their applications.
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| Last Updated on Wednesday, 23 December 2009 07:41 |
