EDGE is part of the poster presentation Tensor-Optimized Hardware Accelerates Fused Discontinuous Galerkin Simulations at this year’s Supercomputing Conference (SC18) in Dallas, Texas. The poster reception is on Tuesday (11/13/18) from 5:15PM - 7:00PM. Electronic versions of the poster and extended abstract are available from EDGE’s resources.
September is the month of the SCEC Annual Meeting. Location of the meeting is the middle of the desert: Palm Springs, CA. The meeting is preceded by a day of workshops, where the SCEC Open-Source Software and Data Access Workshop is of particular interest to modeling and simulation. EDGE is part of the poster “Fused Earthquake Simulations on Deep Learning Hardware” (#289), available electronically from http://opt.dial3343.org/scecam18pos.
Illustration of Intel Xeon Phi Vector Processing Units (VPUs). Shown is a comparison of the Knights Landing and Knights Mill processors: a symmetric, single-pumped combo VPU is replaced by an asymmetric (single precision biased) VPU which is double-pumped for high efficiencies on the two-issue wide Xeon Phi frontend.
The poster “Deep Learning Hardware Accelerates Fused Discontinuous Galerkin Simulations” won the ISC Research Poster Award in the category “Artificial Intelligence & Machine Learning”. With seismic wave propagation in EDGE as the use-case, the work shows that high performance computing should exploit two important aspects of hardware developments in the years to come: a) new hardware features are biased towards improving single and lower precision performance, and b) computational capabilities increase faster than the processors’ memory performance. The award comes with a 300 Euro cash prize and a certificate. Details on the conference’s awards are available from http://isc-hpc.com. An electronic version of the award-winning poster is available from EDGE’s assets repository.