Toward Nanoprocessor Thermodynamics

A hierarchical methodology for the determination of fundamental lower bounds on energy dissipation in nanoprocessors is described. The methodology aims to bridge computational description of nanoprocessors at the instruction-set-architecture level to their physical description at the level of dynamical laws and entropic inequalities. The ultimate objective is hierarchical sets of energy dissipation bounds for nanoprocessors that have the character and predictive force of thermodynamic laws and can be used to understand and evaluate the ultimate performance limits and resource requirements of future nanocomputing systems. The methodology is applied to a simple processor to demonstrate instruction- and architecture-level dissipation analyses.

[1]  Neal G. Anderson,et al.  Heat dissipation bounds for nanocomputing: Theory and application to QCA , 2011, 2011 11th IEEE International Conference on Nanotechnology.

[2]  Natesh Ganesh,et al.  Irreversibility and dissipation in finite-state automata , 2013 .

[3]  Neal G. Anderson,et al.  Information Erasure in Quantum Systems , 2008 .

[4]  Ronnie Kosloff,et al.  Quantum Thermodynamics: A Dynamical Viewpoint , 2013, Entropy.

[5]  Rolf Landauer,et al.  Irreversibility and heat generation in the computing process , 1961, IBM J. Res. Dev..

[6]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[7]  Csaba Andras Moritz,et al.  Wire-Streaming Processors on 2-D Nanowire Fabrics , 2005 .

[8]  Mostafizur Rahman,et al.  Determining fundamental heat dissipation bounds for transistor-based nanocomputing paradigms , 2011, 2011 IEEE/ACM International Symposium on Nanoscale Architectures.

[9]  Graham A. Jullien,et al.  Simple 4-bit processor based on quantum-dot cellular automata (QCA) , 2005, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05).

[10]  Neal G. Anderson,et al.  On the physical implementation of logical transformations: Generalized L-machines , 2010, Theor. Comput. Sci..

[11]  Neal G. Anderson,et al.  Overwriting information: Correlations, physical costs, and environment models , 2012 .

[12]  Neal G. Anderson,et al.  Heat Dissipation in Nanocomputing: Lower Bounds From Physical Information Theory , 2013, IEEE Transactions on Nanotechnology.