Alternative computation based on neural systems on a nanoscale device are of increasing interest because of the massive parallelism and scalability they provide. Neural based computation systems also offer defect finding and self healing capabilities. Traditional Von Neumann based architectures (which separate the memory and computation units) inherently suffer from the Von Neumann bottleneck whereby the processor is limited by the number of instructions it fetches. The clock driven based Von Neumann computer survived because of technology scaling.
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- Partial requirement for: M.S., Arizona State University, 2015Note typethesis
- Includes bibliographical references (pages 64-67)Note typebibliography
- Field of study: Electrical engineering