NOνA (E929)
NuMI Off-Axis νe Appearance Experiment

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FastML: NOvA Reco in 10 minutes

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Submitted by:
Thomas Warburton
Updated by:
Maury Goodman
Document Created:
09 Sep 2019, 00:27
Contents Revised:
11 Sep 2019, 11:11
Metadata Revised:
30 Sep 2019, 16:54
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Machine learning (ML) is rapidly becoming the major tool to analyze complex datasets over many different disciplines, including high-energy physics. Following the rapid rise of ML through deep learning algorithms, a re-investigation of processing technologies and strategies to accelerate deep learning and inference is well underway. This workshop is aimed at current and emerging methods and scientific applications for deep learning and inference acceleration, including ultrafast on-detector inference and real-time systems, acceleration as-a-service, hardware platforms, coprocessor technologies (CPU/GPU/TPU/FPGAs), distributed learning, and hyper-parameter optimization.

This talk is a lightning round, 10 minute overview on our DL program

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Notes and Changes:
FInal version
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held on 09 Sep 2019 in Nus Room WH12W
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