Global Bigdata Conference
The deep learning process could be about to change dramatically thanks to work being carried out Cray, Microsoft and the Swiss National Supercomputing Centre. In existing architectures and conventional systems, deep learning requires a slow training process that can take months, something that can lead to significantly higher costs and delays in making scientific discoveries. Cray believes that its work with Microsoft and CSSC could have solved this problem by applying supercomputing architectures to accelerate the training process. The three worked together to scale the Microsoft Cognitive Toolkit on a Cray XC50 supercomputer at CSCS nicknamed "Piz Daint". According to the supercomputer manufacturer, deep learning problems share algorithmic similarities with applications that are traditionally run on a massively parallel supercomputer.
Dec-15-2016, 21:00:08 GMT