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.

Posts by Brian Van Essen


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