Brian Van Essen

Brian van Essen is the Informatics Group leader and a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). He is actively pursuing research in large-scale deep learning for scientific domains using high-performance computing systems. Brian is the project leader for the Livermore Big Artificial Neural Network (LBANN) open-source deep learning toolkit. He joined LLNL in October 2010 after earning his Ph.D. in computer science and engineering from the University of Washington, Seattle. He also holds a M.S in computer science and engineering from UW, and M.S. and B.S. degrees in electrical and computer engineering from Carnegie Mellon University.
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Posts by Brian Van Essen

Simulation / Modeling / Design

Scaling Scientific Computing with NVSHMEM

Figure 1. In the NVSHMEM memory model, each process (PE) has private memory, as well as symmetric memory that forms a partition of the partitioned global... 10 MIN READ