Extreme Scale Deep Learning at NERSC
by Rich Brueckner from High-Performance Computing News Analysis | insideHPC on (#3TXJB)
Thorsten Kurth from LBNL gave this talk at the PASC18 conference. "We present various studies on very large scale distributed deep learning on HPC systems including the ~10k node Intel Xeon-Phi-based Cori system at NERSC. We explore CNN classification architectures and generative adversarial networks for HEP problems using large images corresponding to full LHC detectors and high-resolution cosmology convergence maps."
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