Monday, January 16, 2017

Nano-Computers



This blog is based upon a video on future technologies from ted.com.  The video I chose was on Nanocomputers.  Specifically computers and circuits build from self assembling nano-carbon tubes.

Video on Nano-Computers

The video discusses breakthrough innovations that result from working with nano-materials (materials on the scale of one billionth of a meter).  Specifically discussed are building with carbon tubes (note that carbon and hydrogen are the most prevalent atoms in nature and account for most of organic materials and living things).  The problem stated is that these materials are so small that we don't have tools that are small enough to work with them.   The answer, the speaker states, is to do what nature does, to create things like nano-robots, nano-circuits, even a nano-elevator by having the carbon atoms and tube self assemble themselves into circuits, robots, etc...  This is how nature does it.  Cells are basically large structures and processes that are assembled out of molecules that combine themselves to create cells simply by chemical forces.  In the same way chemistry and the electrostatic and steric forces of chemistry can self assemble nano-tubes into circuits.
The speaker, as myself, is most interested in assembly circuits and entire CPU and computer from nano-carbon tubes.  Carbon, like any atom, has electronic properties by the fact that atoms interact and combine through their electron shells.  The speaker notes that we are coming to the end of Moore's law, i.e., to the end of miniaturization of circuits and hence the end to the increase in how many transistors can be put on a chip and how fast the computer is.  The answer it would seem is to build a computer from nano-materials, which would be much much smaller and at least 10 times faster.  

After the video I found and read several articles on nano-computers (see references below).  Peper, Lee, Adachi, and Mashiko (2003) have been testing which nano-material architecture is most suited to building circuits.  They have had some success with asynchronous cellular arrays, which has a regular structure of interconnected cells and an asynchronous mode of timing (which may obviate the need for a central clock as used in the current generation of CPUs) (Beckett and Jennings, 2002).  The cells can be manufactured through self-assembly, as indicated in the video.  Operations can be timed randomly and independently and do not require a central clock with uses power and dissipates heat (Tseng and Ellenbogen, 2001).  Their circuits operate with an asynchronous delay insensitive signals.  The prevailing Von Neumann architecture of the current generation of computers where memory and processing are separated would not be used.  The computers would be composed of a large number of identical cells (up to Avogadro's number, 1*10^23 cells) (Durbeck and Macias, 2001).  They have assembled several architectures including a field programmable gate array (FPGA) and cellular automaton, each cell operating according to global rules to produce general purpose computation.

The video about nano-circuits, etc... can be found at:


Two Forces that Impact the Innovation

The first force affecting the future of nano-technology would just be the continued funding of research venues.  Some of this research is being done at universities, some in industry.  Both need a constant source of funding that is not tied to a promise of any near term profits, as this research won't produce any useable products for perhaps a decade or two.  

The second force I would say is global cooperation.  Much of this research is being done around the world.  The need to share papers and results across borders rather than in industry profit motivated labs is requisite for the cross fertilization of research and advancement of the technology.

References

Beckett, P., & Jennings, A. (2002). Towards nanocomputer architecture. Australian Computer      Science Communications, 24(3), 141-150.
  
Durbeck, L. J., & Macias, N. J. (2001). The cell matrix: an architecture for nanocomputing.           Nanotechnology, 12(3), 217.

Peper, F., Lee, J., Adachi, S., & Mashiko, S. (2003). Laying out circuits on asynchronous cellular arrays: a step towards feasible nanocomputers?. Nanotechnology, 14(4), 469.

TED. (n.d.). Retrieved from http://www.ted.com/

Tseng, G. Y., & Ellenbogen, J. C. (2001). Toward nanocomputers. Science, 294(5545), 1293-1294.


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