P88: PetaVision Neural Simulation Toolbox on Intel KNLs
SessionPoster Reception
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.
