30 Apr '15, 7pm

NYU & Nvidia Team Up for Multi-GPU Cluster-led Deep Learning Research

New York University ’s (NYU) Center for Data Science (CDS) is joining forces with Nvidia in an effort to improve deep learning applications and algorithms for large-scale GPU-accelerated systems. The goal of the deep learning process is to improve algorithms and obtain better computer technologies, so that computers can identify patterns and objects with even greater efficiency than humans. GPUs hasten the improvements by eliminating much of the effort expended on training digital neutral networks. In fact, GPUs can reduce the training time by months. Read more: Achieving the New Production Norm in the High Tech Industry Though they are a great resource, GPUs aren’t readily available, forcing many researchers to labor away with only one GPU. As a result, researchers develop fewer training parameters and the size of the models they create is restricted. By spreading out dee...

Full article: http://www.pddnet.com/news/2015/04/nyu-and-nvidia-team-mu...

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