Deep Learning Becomes ASC16 “e Prize” Challenge

Sponsored Content by Inspur As the ASC Student Supercomputer Challenge (ASC16) enters competition, on January 26, ASC announced that the “e Prize ” this year would set on a deep learning algorithm DNN (Deep Neural Network). All teams are to develop DNN on a MIC (Many-Integrated-Core) platform and optimize the application on a provided MIC supercomputer cluster. DNN is one of the most important deep learning algorithms at present. It aims to construct a set of autonomous learning neural network that simulates the human brain, and thus to realize deep artificial intelligence. Many companies like Google, Microsoft, Baidu, and iFLYTEK have utilized DNN algorithm and a heterogeneous acceleration technology in their artificial intelligence research. However, the mostly used DNN algorithm is GPU heterogeneous architecture. ASC16 requires the teams to move…

Link to Full Article: Deep Learning Becomes ASC16 “e Prize” Challenge

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