Core graphic skills for vector retrieves

By the graphics core will speed up vector processing applications such as situational awareness, military and medical markets.OEMs also face the challenge of implementing this state-of-the-art technology in their new or existing applications, including validation and verification of the applications’ functionality and access to hardware functions and I/Os. To reduce the amount of R&D work, lower costs and shorten their products’ time to market, they seek ways to cut down their initial development and migration tasks. One approach is to make use of a hardware vendor’ migration services. These embedded products as they are known, are no longer limited to the consumer market. They are making their entrance into the embedded market with the arrival of the new AMD Embedded G-Series platform. OEMs can now add the parallel processing power of the AMD Radeon 6310 GPU to their applications. By doing this, it’s possible to add supercomputer-like performance to small-form-factor embedded designs and obtain a previously unachievable performance-per-watt ratio. Additionally, with the support for OpenCL 1.1 and Microsoft DirectCompute, parallel embedded products .

refer to: http://embedded-computing.com/white-papers/white-small-form-factor-sff-designs-2/

 

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