Molecular Cellular Networks: A Non von Neumann Architecture for Molecular Electronics
Abstract
The two fundamental limitations of the present computing paradigm are power dissipation from transistor switching and the architectural von Neumann bottleneck that segregates processing from memory. We examine a cellular... [ view full abstract ]
Authors
- Craig Lent (University of Notre Dame)
- Kenneth Henderson (University of Notre Dame)
- Enrique Blair (Baylor University)
- S. Alex Kandel (University of Notre Dame)
- Steven Corcelli (University of Notre Dame)
- Peter Kogge (University of Notre Dame)
- Yuhui Lu (College of Holy Cross)
- John Christie (University of Notre Dame)
- Natlie Wasio (University of Notre Dame)
- Rebecca Quardokus (University of Notre Dame)
- Ryan Forrest (University of Notre Dame)
- Ryan Brown (University of Notre Dame)
- Michael Niemier (University of Notre Dame)
- Gregory Snider (University of Notre Dame)
- Alexei Orlov (University of Notre Dame)
- Angela Silski (University of Notre Dame)
- David Turner (University of Notre Dame)
- Jacob Peterson (University of Notre Dame)
Topic Areas
Topics: Cellular Neural/Nonlinear Networks (CNN) and Cellular Automata , Topics: In-memory processing , Topics: Novel device physics and materials
Session
OS-03B » Cellular Neural/Nonlinear Networks (CNN) and Nonlinear Dynamic Systems (15:30 - Monday, 17th October, Del Mar Ballroom AB)
Paper
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