New Deep Learning Project Launches at PNNL

October 2016 New Deep Learning Project Launches at PNNL Recently, the U.S. Department of Energy’s Office of Advanced Scientific Computing Research awarded project funding for “Convergence of Deep Learning and Machine Learning for HPC Modeling and Simulation.” Abhinav Vishnu, research scientist with PNNL’s High Performance Computing group, will serve as the project’s principal investigator, overseeing the effort, which will focus on developing extreme-scale Deep Learning algorithms. The project team also includes Charles Siegel (Applied Statistics and Computational Modeling Group) and Jeff Daily, Shuaiwen Leon Song, Joseph Manzano, and Darren Kerbyson (all from PNNL HPC). Top row (l-to-r): Vishnu (PI), Daily, and Siegel.Bottom row (l-to-r): Song, Manzano, and Kerbyson. Enlarge Image. The project’s main objective is to develop algorithms that are capable of executing on novel compute, memory, and storage architectures.…

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