CPU, GPU Put to Deep Learning Framework Test

September 1, 2016 Nicole Hemsoth In the last couple of years, we have examined how deep learning shops are thinking about hardware. From GPU acceleration, to CPU-only approaches, and of course, FPGAs, custom ASICs, and other devices, there are a range of options—but these are still early days. The algorithmic platforms for deep learning are still evolving and it is incumbent on hardware to keep up. Accordingly, we have been seeing more benchmarking efforts of various approaches from the research community. This week yielded a new benchmark effort comparing various deep learning frameworks on a short list of CPU and GPU options. A research team in Hong Kong compared desktop and server CPU and GPU variants across a series of common deep learning platforms. “Different tools exhibit different features and…

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