Photos placed in horizontal position with even amount of white space between photos and header Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000. SAND NO. 2011-XXXXP Neural Computing: What Scale and Complexity is Needed? Neuromorphic Computing Workshop, Oak Ridge, TN 2016 1 Brad Aimone, Kris Carlson, Fred Rothganger Sandia National Laboratories
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Photos placed in horizontal position
with even amount of white space
between photos and header
Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin
Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000. SAND NO. 2011-XXXXP
Neural Computing:
What Scale and Complexity is Needed? Neuromorphic Computing Workshop, Oak Ridge, TN 2016
1
Brad Aimone, Kris Carlson, Fred Rothganger
Sandia National Laboratories
Neuromorphic computing at SNL
leverages a legacy of research efforts
NeuroXyce
Neural
algorithms Computational
Neuroscience
Biological
Neuroscience
Cyber data
analysis
Human
Dimension
Memory
technology
Non-von Neumann
architectures Micro-sensors
Neural Theory
Applied Neural
Systems
Neural-enabling
hardware
Deployable National
Security Applications
• Cyber Defenses
• Embedded Pattern
Recognition Systems
• Smart Sensor Technologies
Enabling Advanced
Scientific and Data-driven
Computing
• Neural-inspired
communication paradigms
• Adaptive memory
management
• Robust machine learning
3
HAANA is taking a broad approach to leverage
neural algorithms in applications
Applications – Cyber,
Remote imaging
Behavioral
Trajectory Analysis
Response to
Concept Drift
Unsupervised
Feature Extraction
Temporal
Coding
Sparse
Coding
Adaptive
Coding
DPUs ReRAM
Crossbar
Future HAANA
Architecture
FPGA
Device
Modeling
Circuit
Modeling
Materials
Chemistry
Filament
Design
Algorithms
Core
Architecture
Core
Learning
Hardware
Core
Applications
Core
Hybrid
4
HAANA is taking a broad approach to leverage
neural algorithms in applications
Applications – Cyber,
Remote imaging
Behavioral
Trajectory Analysis
Response to
Concept Drift
Unsupervised
Feature Extraction
Temporal
Coding
Sparse
Coding
Adaptive
Coding
DPUs ReRAM
Crossbar
Future HAANA
Architecture
FPGA
Device
Modeling
Circuit
Modeling
Materials
Chemistry
Filament
Design
Algorithms
Core
Architecture
Core
Learning
Hardware
Core
Applications
Core
Hybrid
Guiding principles to our approach:
1. Bring rigor and formality to neural computing algorithms and
hardware
2. Be deliberate in how we use neural inspiration
3. Be open minded about where impact may lie
5
HAANA is taking a broad approach to leverage
neural algorithms in applications
Applications – Cyber,
Remote imaging
Behavioral
Trajectory Analysis
Response to
Concept Drift
Unsupervised
Feature Extraction
Temporal
Coding
Sparse
Coding
Adaptive
Coding
DPUs ReRAM
Crossbar
Future HAANA
Architecture
FPGA
Device
Modeling
Circuit
Modeling
Materials
Chemistry
Filament
Design
Algorithms
Core
Architecture
Core
Learning
Hardware
Core
Applications
Core
Hybrid
Guiding principles to our approach:
1. Bring rigor and formality to neural computing algorithms and
hardware
2. Be deliberate in how we use neural inspiration
3. Be open minded about where impact may lie
Neuromorphic research often confuses neural scope with desired computational abstraction