Using a GPU to augment the capability of a traditional CPU can therefore bring real size, weight and power (SWaP) advantages to high-end processing systems. In addition to GPGPU for massively parallel computing, the products also include increasingly powerful graphics technologies that support exceptional realism in high-end graphics solutions such as embedded training.
Design Approaches Impact GPGPU Implementation
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Using a GPU to augment the capability of a traditional CPU can therefore bring real size, weight and power (SWaP) advantages to high-end processing systems. In addition to GPGPU for massively parallel computing, the products also include increasingly powerful graphics technologies that support exceptional realism in high-end graphics solutions such as embedded training.
