Neuromorphic Computing Workshop

Workshop Program

Wednesday, June 29, 2016

10:30-11:30 - Check-In/Badge Pick-Up (ORNL Visitor's Center)
11:00-12:30 - Welcome/Working Lunch
- Shaun Gleason, ORNL (presentation)
- Robinson Pino, DOE ASCR (presentation)
- Tom Potok, ORNL
12:30-1:15 - Keynote: Todd Hylton, Brain Corporation (presentation)
1:15-2:00 - Keynote: Catherine Schuman, Oak Ridge National Laboratory (presentation)
2:00-2:45 - Keynote: Cindy Leiton, Stony Brook University (presentation)
2:45-3:30 - Break
3:30-4:00 - Presentation: Lloyd Whitman, White House Office of Science and Technology Policy (presentation)
4:00-5:00 - Focus Area Overview: Architectures/Models, Algorithms, Applications
5:00-5:30 - Summary

Thursday, June 30, 2016

8:00-8:30 - Coffee/Light Breakfast
8:30-8:40 - Welcome/Recap
8:40-10:00 - Short Presentations (20 minutes)
- James Aimone, Kristofor Carlson and Fredrick Rothganger: Neural Computing: What Scale and Complexity is Needed?
- Alice Parker: Object Recognition and Learning using the BioRC Biomimetic Real-Time Cortex Neurons
- Kathleen Hamilton, Alexander McCaskey, Jonathan Schrock, Neena Imam and Travis Humble: Associative Memory Models with Adiabatic Quantum Optimization
- Tinoosh Mohsenin and Farinaz Koushanfar: Bringing Physical Dimensions to the Deep Networks for Neuromorphic Computing
10:00-10:30 - Break
10:30-12:00 - Short Presentations (20 minutes)
- Yuan Xie: Architecture, ISA support, and Software Toolchain for Neuromorphic Computing in ReRAM Based Main Memory
- Angel Yanguas-Gil: Beyond the crossbar: materials based design and emulation of neuromemristive devices and architectures
- Matthew J. Marinella, Sapan Agarwal, A. Alec Talin, Conrad D. James and F. Rick McCormick: Device to System Modeling Framework to Enable a 10 fJ per Instruction Neuromorphic Computer
- Chris Carothers, Noah Wolfe, Prasanna Date, Mark Plagge, and Jim Hendler: Large-Scale Hybrid Neuromorphic HPC Simulations, Algorithms and Applications
12:00-1:00 - Lunch and Plenary by Stan Williams.
1:00-2:30 - Short Presentations (20 minutes)
- Priyadarshini Panda and Kaushik Roy: Enabling on-chip intelligence with low-power neuromorphic computing
- Yu Cao, Steven Skorheim, Ming Tu, Pai-Yu Chen, Shimeng Yu, Jae-Sun Seo, Visar Berisha, Maxim Bazhenov and Zihan Xu: Efficient Neuromorphic Learning with Motifs of Feedforward Inhibition
- Praveen Pilly, Nigel Stepp and Jose Cruz-Albrecht: Exploiting Criticality in HRL's Latigo Neuromorphic Device
- Yiran Chen: Algorithm Innovations of Enhancing Scalability and Adaptability of Learning Systems
2:30-3:00 - Break
3:00-3:45 - Lightning Talks (10 minutes)

Vishal Saxena and Xinyu Wu: Addressing Challenges in Neuromorphic Computing with Memristive Synapses
Tarek Taha, Raqibul Hasan and Chris Yakopcic: Energy Efficiency and Throughput of Multicore Memristor Crossbar Based Neuromorphic Architectures
Dhireesha Kudithipudi, James Mnatzaganian, Anvesh Polepalli, Nicholas Soures, and Cory Merkel: Energy Efficient and Scalable Neuromemristive Computing Substrates
Gangotree Chakma, Elvis Offor, Mark Dean and Garrett Rose: A Reconfigurable Memristive DANNA Circuit with Implementations in Pattern Recognition

3:45-5:00 - Presenter Panel Discussion, moderated by Mark Dean
5:00-5:30 - Summary

Friday, July 1, 2016

7:30-8:00 - Coffee/Light Breakfast
8:00-10:00 - Breakout Discussion Sessions
- Workshop Report Content Discussions
- Example DOE Workshop Report: Neuromorphic Computing: From Materials to Systems Architecture
10:00-10:30 - Break
10:30-11:45 - Breakout Discussion Sessions
- Workshop Report Content Discussions
- Example DOE Workshop Report: Neuromorphic Computing: From Materials to Systems Architecture
11:45-12:00 - Final Wrap-Up