When discussing GPU accelerators, the focus is often on the price-to-performance benefits to the end user. The true cost of managing and using GPUs goes far beyond the hardware price, however. Understanding and managing these costs helps provide more efficient and productive systems.
NVIDA’s Sanford Russell writes that Microsoft’s recent work on a new programming language extension called C++ AMP will accelerate the adoption of GPU computing. He contends that the move will push programmers get off the fence and go with GPU computing. “The take away from Microsoft’s announcement today is that the GPU computing space has reached maturity, […]