Deep Learning, Ocean Modeling, and HPCG Come to ASC16 Student Supercomputer Challenge

Today the ASC Student Supercomputer Challenge (ASC16) announced details from their Preliminary Contest on January 6. College students from around the world were asked to design a high performance computer system that optimizes HPCG and MASNUM_WAM applications under 3000W as well as to conduct a DNN performance optimization on a standalone hybrid CPU+MIC platform. All system designs along with the result and the code of the optimization application are to be submitted by March 2. DNN (Deep Neural Network) is one of the most important deep learning algorithms in artificial intelligence. Deep learning, as an emerging HPC application that requires high computational efficiency, has recently attained broad interests. In many cases, DNN is set up on either CPU or GPU. However for the ASC16 Preliminary Contest, students will have to develop…


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