Fujitsu develops technology to process deep learning

Latest News Fujitsu Laboratories has announced the development of software technology that uses multiple GPUs to enable high-speed deep learning powered by the application of supercomputer software parellelisation technology. A conventional method to accelerate deep learning is to use multiple computers equipped with GPUs, networked and arranged in parallel. According to the company however, the issue with this method is that the effects of parallelisation become progressively harder to obtain as the time required to share data between computers increases when more than 10 computers are used at the same time. Fujitsu has newly developed parallelisation technology to efficiently share data between machines, and applied it to Caffe, an open source deep learning framework widely used around the world. To confirm effectiveness with a wide range of deep learning, the company…


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