P88: PetaVision Neural Simulation Toolbox on Intel KNLs
SessionPoster Reception
Authors
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionWe implemented a large-scale neuromorphic algorithm
called the Sparse Prediction Machine (SPM), on the Los
Alamos Trinity supercomputer. Specifically, we used
PetaVision, an open source high-performance neural
simulation toolbox, to implement a 4-layer SPM applied
to ImageNet video. Various optimization techniques were
applied to efficiently utilize up to 8192 KNL nodes. The
goal of the SPM is to predict future states of a system
from a sequence of previous states, or in the case of
video, to predict a subsequent frame from previous
frames. In our training, the SPM was able to predict the
8th frame from the preceding 7 frames, including
successful separation of foreground and background
motion.
