Fujitsu Doubles Deep Learning Neural Network Scale with Technology to Improve GPU Memory …
KAWASAKI, Japan, Sept 21, 2016 – (JCN Newswire) – Fujitsu Laboratories Ltd. today announced development of technology to streamline the internal memory of GPUs to support the growing neural network scale that works to heighten machine learning accuracy. This development has enabled neural network machine learning of a scale up to twice what was capable with previous technology.Recent years have seen a focus on technologies that use GPUs for high-speed machine learning to support the huge volume of calculations necessary for deep learning processing. In order to make use of a GPU’s high-speed calculation ability, the data to be used in a series of calculations needs to be stored in the GPU’s internal memory. This, however, creates an issue where the scale of the neural network that could be built…
Link to Full Article: Fujitsu Doubles Deep Learning Neural Network Scale with Technology to Improve GPU Memory …
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