Massively parallel computing on an organic molecular layer

Computer Science – Emerging Technologies

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

25 pages, 6 figures

Scientific paper

Current computers operate at enormous speeds of ~10^13 bits/s, but their principle of sequential logic operation has remained unchanged since the 1950s. Though our brain is much slower on a per-neuron base (~10^3 firings/s), it is capable of remarkable decision-making based on the collective operations of millions of neurons at a time in ever-evolving neural circuitry. Here we use molecular switches to build an assembly where each molecule communicates-like neurons-with many neighbors simultaneously. The assembly's ability to reconfigure itself spontaneously for a new problem allows us to realize conventional computing constructs like logic gates and Voronoi decompositions, as well as to reproduce two natural phenomena: heat diffusion and the mutation of normal cells to cancer cells. This is a shift from the current static computing paradigm of serial bit-processing to a regime in which a large number of bits are processed in parallel in dynamically changing hardware.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Massively parallel computing on an organic molecular layer does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Massively parallel computing on an organic molecular layer, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Massively parallel computing on an organic molecular layer will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-319372

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.