Probabilistic CMOS Technology: A Survey and Future Directions
暂无分享,去创建一个
Krishna V. Palem | Pinar Korkmaz | Bilge E. S. Akgul | Lakshmi N. Chakrapani | K. Palem | Pinar Korkmaz
[1] Krishna V. Palem,et al. Ultra Low-energy Computing via Probabilistic Algorithms and Devices: CMOS Device Primitives and the Energy-Probability Relationship , 2004 .
[2] Michael O. Rabin,et al. Hyper-Encryption and Everlasting Security , 2002, STACS.
[3] Douglas B. Shire,et al. GENERAL PHYSICS: Nuclear, Atomic, and Molecular ÑPACS 01239Ö 5019 Scaling limit of digital circuits due to thermal noise , 1998 .
[4] James Tschanz,et al. Parameter variations and impact on circuits and microarchitecture , 2003, Proceedings 2003. Design Automation Conference (IEEE Cat. No.03CH37451).
[5] Krishna V. Palem,et al. Energy aware computing through probabilistic switching: a study of limits , 2005, IEEE Transactions on Computers.
[6] Shmuel Winograd,et al. Complexity Of Computations , 1978, ACM Annual Conference.
[7] Ronald L. Rivest,et al. Introduction to Algorithms, Second Edition , 2001 .
[8] Krishna V. Palem,et al. Computational Proof as Experiment: Probabilistic Algorithms from a Thermodynamic Perspective , 2003, Verification: Theory and Practice.
[9] A. Paz. Probabilistic algorithms , 2003 .
[10] Volker Strassen,et al. A Fast Monte-Carlo Test for Primality , 1977, SIAM J. Comput..
[11] Jeffrey A. Davis,et al. The fundamental limit on binary switching energy for terascale integration (TSI) , 2000, IEEE Journal of Solid-State Circuits.
[12] Tanja Lange,et al. Random Numbers Generation and Testing , 2005, Handbook of Elliptic and Hyperelliptic Curve Cryptography.
[13] H. Fuks. Nondeterministic density classification with diffusive probabilistic cellular automata. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[14] Alan M. Ferrenberg,et al. Monte Carlo simulations: Hidden errors from "good" random number generators. , 1992, Physical review letters.
[15] Sven-Gustav Häggman,et al. Simplified bounds for the complementary error function; application to the performance evaluation of signal-processing systems , 2004, 2004 12th European Signal Processing Conference.
[16] Pinar Korkmaz,et al. Advocating Noise as an Agent for Ultra-Low Energy Computing: Probabilistic Complementary Metal-Oxide-Semiconductor Devices and Their Characteristics , 2006 .
[17] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[18] Bilge E. S. Akgul,et al. A Probabilistic CMOS Switch and its Realization by Exploiting Noise , 2005 .
[19] Nobuyuki Sano. Increasing Importance of Electronic Thermal Noise in Sub-0.1 mum Si-MOSFETs , 2000 .
[20] J. Hartmanis,et al. On the Computational Complexity of Algorithms , 1965 .
[21] L. Kish. End of Moore's law: thermal (noise) death of integration in micro and nano electronics , 2002 .
[22] Krishna V. Palem,et al. Ultra-Efficient (Embedded) SOC Architectures based on Probabilistic CMOS (PCMOS) Technology , 2006, Proceedings of the Design Automation & Test in Europe Conference.
[23] Erol Gelenbe,et al. Random Neural Networks with Negative and Positive Signals and Product Form Solution , 1989, Neural Computation.
[24] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.