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Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
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B

Workshop Agenda

February 28, 2020
National Academies of Sciences, Engineering, and Medicine’s Keck Center
Washington, DC

10:00 am

Workshop Introduction

Leslie Momoda, HRL Laboratories, Planning Committee Chair

10:15

Workshop Plenaries

10:15

An Overview of Memristor Technologies

R. Stanley Williams, Texas A&M University

11:05

RRAM: Mechanisms of Operation

Marek Skowronski, Carnegie Mellon University

12:00 pm

Neuromorphic Computing with Polymers

A. Alec Talin, Sandia National Laboratories

12:50

Lunch

Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
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1:50

Device Requirements and Challenges of Mixed-Signal Neuromorphic Hardware

Dmitri Strukov, University of California, Santa Barbara

2:40

Device Architectures to Meet Neuromorphic Computing Challenges

Catherine Schuman, Oak Ridge National Laboratory

3:30

Break

3:45

Introduction to Panel Discussion: Future of Energy-Efficient Computing Based on Memristive Elements

John Paul Strachan, Hewlett Packard Laboratories

3:55

Moderated Discussion

John Paul Strachan, Hewlett Packard Laboratories

5:15

Workshop Adjourned

Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
×
Page 76
Suggested Citation:"Appendix B: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2021. Frontiers in Memristive Materials for Neuromorphic Processing Applications: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25938.
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Page 77
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Current von Neumann style computing is energy inefficient and bandwidth limited as information is physically shuttled via electrons between processor, short term non-volatile memory, and long-term storage. Biologically inspired neuromorphic computing, with its inherent autonomous learning capabilities and much lower power requirements based on analog processing, is seen as an avenue for overcoming these limitations. The development of nanoelectronic "memory resistors", or memristors, is essential to neuromorphic architectures as they allow logic-based elements for information processing to be combined directly with nonvolatile memory for efficient emulation of neurons and synapses found in the brain. Memristors are typically composed of a switchable material with nonlinear hysteretic behavior sandwiched between two conducting encoding elements. The design, dynamic control, scaling and fundamental understanding of these materials is essential for establishing memristive devices.

To explore the state-of-the-art in the materials fundamentally underlying memristor technologies: their science, their mechanisms and their functional imperatives to realize neuromorphic computing machines, the National Academies of Sciences, Engineering, and Medicine's Board on Physics and Astronomy convened a workshop on February 28, 2020. This publication summarizes the presentation and discussion of the workshop.

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