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DTSTART:19700308T020000
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DTSTAMP:20260522T150119Z
LOCATION:D161
DTSTART;TZID=America/Chicago:20181111T144000
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UID:submissions.supercomputing.org_SC18_sess156_ws_pmes105@linklings.com
SUMMARY:Non-Neural Network Applications for Spiking Neuromorphic Hardware
DESCRIPTION:James B. Aimone (Sandia National Laboratories), Kathleen E. Ha
 milton (Oak Ridge National Laboratory), Susan Mniszewski (Los Alamos Natio
 nal Laboratory), Leah Reeder (Sandia National Laboratories), Catherine D. 
 Schuman (Oak Ridge National Laboratory), and William M. Severa (Sandia Nat
 ional Laboratories)\n\nIncreasing power costs for large-scale computing in
  a post-Moore’s Law system have forced the high-performance computing comm
 unity to explore heterogeneous systems.  Neuromorphic architectures, inspi
 red by biological neural systems, have so far been relegated to auxiliary 
 machine learning applications.  Here, we discuss growing research showing 
 the viability of ultra-low-power neural accelerators as co-processors for 
 classic compute algorithms, such as random walk simulations and graph anal
 ytics.\n\nTag: Architectures, Heterogeneous Systems, Quantum Computing\n\n
 Registration Category: Workshop Reg Pass\n\nSession Chair: Jeffrey S. Vett
 er (Oak Ridge National Laboratory (ORNL))\n\n
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