[IP] Fwd: [CSL Colloq] Nano-Architectures, Nano-Computing, Nano-Technologies, and the * 4:15PM, Wed May 19, 2004 in Gates B03
Delivered-To: dfarber+@xxxxxxxxxxxxxxxxxx
Date: Thu, 13 May 2004 16:13:14 -0700
From: allison@xxxxxxxxxxxx
Subject: [CSL Colloq] Nano-Architectures, Nano-Computing, Nano-Technologies,
and the * 4:15PM, Wed May 19, 2004 in Gates B03
To: farber@xxxxxxxxxxxxx
COMPUTER SYSTEMS LABORATORY COLLOQUIUM
4:15PM, Wednesday, May 19, 2004
NEC Auditorium, Gates Computer Science Building B03
http://ee380.stanford.edu[1]
Topic: Nano-Architectures, Nano-Computing, Nano-Technologies, and the
DNA Structure
Speaker: S. Barbu, ST Microelectronics
M. Morf, Stanford University
A. E. Barbu, UC Davis
About the talk:
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 ESIEEParis and ENSICaen, 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@xxxxxx[2] M. Morf Email:
morf@xxxxxxxxxxxxxxxxx[3] A. E. Barbu Email: aenbarbu@xxxxxxxxxxx[4]
Embedded Links:
[ 1 ] http://ee380.stanford.edu
[ 2 ] mailto:stephane.barbu@xxxxxx
[ 3 ] mailto:morf@xxxxxxxxxxxxxxxxx
[ 4 ] mailto:awbarbu@xxxxxxxxxxx
-------------------------------------
You are subscribed as roessler@xxxxxxxxxxxxxxxxxx
To manage your subscription, go to
http://v2.listbox.com/member/?listname=ip
Archives at: http://www.interesting-people.org/archives/interesting-people/