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DTSTAMP:20210402T160544Z
LOCATION:Poster Module
DTSTART;TZID=America/New_York:20201119T083000
DTEND;TZID=America/New_York:20201119T170000
UID:submissions.supercomputing.org_SC20_sess337_rpost152@linklings.com
SUMMARY:StreamBrain: An HPC DSL for Brain-Like Neural Networks on Heteroge
 neous Systems
DESCRIPTION:Posters, Research Posters\n\nStreamBrain: An HPC DSL for Brain
 -Like Neural Networks on Heterogeneous Systems\n\nPodobas, Svedin, Chien, 
 Peng, Markidis...\n\nWe introduce StreamBrain: a high-performance DSL for 
 brain-like neural networks. StreamBrain supports multiple backends such as
  FPGAs, GPUs and CPUs on heterogeneous HPC systems while providing a conve
 nient Keras-like interface to users. We show that training an MNIST datase
 t on the BCPNN model only takes 15 seconds. We empirically show that batch
 ing is critical for the BCPNN model as it allows the computational intensi
 ty to be controlled. Finally, we explored the resilience of the BCPNN mode
 l to reduced width of the numerical representation and showed that the man
 tissa of the double-precision (DP) computation could be reduced to a 9-bit
  representation, yielding nearly twice the performance of the original DP 
 implementation.\n\nRegistration Category: Tech Program Reg Pass, Exhibits 
 Reg Pass
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