Introduction to DNA Self-assembled Computer Design - Hardcover

Christopher Dwyer; Alvin LeBeck

 
9781596931688: Introduction to DNA Self-assembled Computer Design

Synopsis

The use of DNA self-assembly in microchip fabrication may well revolutionize computing, and this trail-blazing book is the first to bridge the gap between current chip technology and the molecular-scale circuitries that lie ahead. It explores the latest breakthroughs in the use of DNA as construction material, and maps out a method for developing DNA self-assembled computer systems that includes detailed design case studies. Probing both the science and the engineering involved, this one-of-a-kind resource reviews current microchip fabrication methods and architectures and discusses fundamentals of nanoscale design and DNA self-assembly. Moreover, the book surveys current limitations and challenges, and features detailed case studies of lightweight self-organizing computer architectures.

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About the Author

Christopher Dwyer is an assistant professor in the Electrical and Computer Engineering Department at Duke University. He was general co-chair of the 2006 IEEE Nano-nets Conference and program chair of the 4th Workshop on Non-Silicon Computing (2007). He has served as guest editor for IEEE Transactions on Nanotechnology and the ACM Journal on Emerging Technologies in Computing Systems, and has authored or co-authored over 35 papers on topics in self-assembling computer architecture, nanoscale system design & simulation, DNA-guided self-assembly, and self-assembling device fabrication. He received his Ph.D. in computer science from the University of North Carolina.

Alvin LeBeck is an associate professor in the Electrical and Computer Engineering Department at Duke University. He is also associate editor of the Journal of Instruction-Level Parallelism and was technical program co-chair of the 1st International Conference on Nano-Networks (2006). He has written or co-written numerous journal articles and conference papers on topics in computer architecture, nano-scale systems, memory system, energy efficient computing, and multiprocessors. He earned his Ph.D. at the University of Wisconsin at Madison.

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