Nano-Architectures, Nano-Computing, Nano-Technologies, and the DNA Structure

S. Barbu, ST Microelectronics
M. Morf, Stanford University
A. E. Barbu, UC Davis

As we approach the nano-scale, advances in molecular biology, genomics, electrical engineering, computer science, super symmetry (SUSY) physics, and mathematics have begun to demonstrate a convergence of the underlying scientific mechanisms. By recognizing the interrelationships and similarities across disciplines, we believe it is possible to enhance the synergy between the domains and resolve different aspects related to chaos models.

This talk focuses on a few critical elements that give insight into the new nano-scale knowledge adventure that lies ahead. The DNA structure can be the embedding element for technologies at the nano-architecture and nano-computing levels.

In our talk we will:

• propose a new, multistate network model for DNA in which the A,T,C,G alphabet is only the static component. The dynamic components are complex and their higher-order invariants will be shown.
• describe a nano-network architecture that is a convergence between semiconductor technologies, quantum computing, and optical computing. New theorems related to chiral spaces and chiral topology are stated. New architectural properties and applications are outlined.
• examine some of the new properties the nano-scale reduction introduces for the synchronization of systems. A generalized synchronization theorem is proposed.
• show how nano-computing can provide a hyper-dense computing web with multi-level signaling for compact, low-power super-nodes. These nodes can enable peta-FLOPS and beyond for the computation of complex, non-linear information flows. Computing models can still be constructed with extended Boolean functions as projections onto algebraic varieties.
• explain why high-order, stable, sub-spaces are expected. The game of life is used to illustrate the fine line between Turing Completeness and the higher-order invariants that will coexist in these new technologies.

About the speakers

Stephane Barbu has been with ST Microelectronics since 1997. Prior to that, he was with Philips Semiconductors and Rockwell Semiconductors. He has authored or coauthored 16 US patents and several publications on integrated circuits. From 1988 to 1996, he taught the Integrated Systems course on the future development of SoCs at ESIEE–Paris and ENSI–Caen, France. His fields of interest are wireless systems, networking, communication and information flows, algorithms, arithmetic and cryptography, DSP, mixed-mode systems, DNA nano-architectures, nonlinear dynamic systems, stochastic processes, and synchronous vs. asynchronous partitioning. He received his MS Degree from the Polytechnic Engineering School, Bucharest, Romania in 1977.

Martin Morf is Professor of Informatics at ETH-Zurich, now at Stanford University’s Center for Integrated Systems. Prior to that, he was Associate Professor of EE at Stanford; Senior Professor of EE and CS at Yale; Visiting Professor at ETH-Zurich (in bio-med, CS, and math), Stanford CIS, IBM T.J. Watson Research, Canon, Chevron, Xerox PARC, and NASA/Ames. He has also held positions in industry at Palyn Gould Group, CTO/CEO Antidote, RCA, Molecular Systems, and the VA Rehab Engineering Center. His research areas include reconfigurable, adaptive, and real-time computer architectures; algorithms and arithmetic; wireless systems; DSP; multimedia; communications; fluid-flow; high-performance, high-density, low-power low-cost technologies; photonics; nano-architectures and technologies; quantum computers and information theory; molecular, biological and DNA-based computing; analog logic; stochastic and symbolic processing; compilation for asynchronous, parallel, and concurrent systems; computation; and application-specific languages and systems. He received his MSEE from ETH-Zurich, his MA from Yale, and his MS and Ph.D. EE from Stanford.

A. E. Barbu is pursuing undergraduate studies in genetics and French at the University of California at Davis. In her free time, she participates in research activities at U.C. Davis.

Contact information:

S. Barbu	Vox: 408-467-8477 Email: stephane.barbu@st.com
M. Morf	Email: morf@snow.stanford.edu
A. E. Barbu	Email: aenbarbu@ucdavis.edu