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UC
2005
Springer
13 years 10 months ago
Lower Bounds on the Computational Power of an Optical Model of Computation
We present lower bounds on the computational power of an optical model of computation called the C2-CSM. We show that C2-CSM time is at least as powerful as sequential space, thus ...
Damien Woods, J. Paul Gibson
ISAAC
2005
Springer
78views Algorithms» more  ISAAC 2005»
13 years 10 months ago
Upper Bounds on the Computational Power of an Optical Model of Computation
We present upper bounds on the computational power of an optical model of computation called the C2-CSM. We show that C2-CSM time is no more powerful than sequential space, thus gi...
Damien Woods
NIPS
2008
13 years 6 months ago
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
Benjamin Schrauwen, Lars Buesing, Robert A. Legens...
IPPS
2000
IEEE
13 years 9 months ago
Take Advantage of the Computing Power of DNA Computers
Ever since Adleman [1] solved the Hamilton Path problem using a combinatorial molecular method, many other hard computational problems have been investigated with the proposed DNA ...
Zhiquan Frank Qiu, Mi Lu
VLSID
2005
IEEE
285views VLSI» more  VLSID 2005»
14 years 5 months ago
Power Monitors: A Framework for System-Level Power Estimation Using Heterogeneous Power Models
Abstract--Power analysis early in the design cycle is critical for the design of lowpower systems. With the move to system-level specifications and design methodologies, there has ...
Nikhil Bansal, Kanishka Lahiri, Anand Raghunathan,...