Rebooting Our Computing Models
暂无分享,去创建一个
Pierre-Emmanuel Gaillardon | Koen Bertels | Carmen G. Almudéver | Suman Datta | V. Narayanan | Arijit Raychowdhury | C. G. Almudever | Patsy Cadareanu | M. Di Ventra | C N.Reddy | A. Khanna | S. Datta | K. Bertels | P. Gaillardon | M. Ventra | A. Raychowdhury | A. Khanna | Patsy Cadareanu | C. N.Reddy | Vijayakrishan Narayanan
[1] Shimeng Yu,et al. Neuro-Inspired Computing With Emerging Nonvolatile Memorys , 2018, Proceedings of the IEEE.
[2] Stuart A. Wolf,et al. Spintronics : A Spin-Based Electronics Vision for the Future , 2009 .
[3] Dmitri E. Nikonov,et al. Benchmarking of Beyond-CMOS Exploratory Devices for Logic Integrated Circuits , 2015, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.
[4] Fabio L. Traversa,et al. Memcomputing: Leveraging memory and physics to compute efficiently , 2018, ArXiv.
[5] Wolfgang Porod,et al. Device and Architecture Outlook for Beyond CMOS Switches , 2010, Proceedings of the IEEE.
[6] M. Sipser,et al. Quantum Computation by Adiabatic Evolution , 2000, quant-ph/0001106.
[7] Fabio L. Traversa,et al. MemComputing: An efficient topological computing paradigm , 2017, 2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS).
[8] Suman Datta,et al. Vertex coloring of graphs via phase dynamics of coupled oscillatory networks , 2016, Scientific Reports.
[9] Damien Querlioz,et al. Spintronic nanoscillators for unconventional circuits , 2017, 2017 European Conference on Circuit Theory and Design (ECCTD).
[10] S. Datta,et al. Ultra low power coupled oscillator arrays for computer vision applications , 2016, 2016 IEEE Symposium on VLSI Technology.
[11] Rolf Drechsler,et al. A PLiM Computer for the Internet of Things , 2017, Computer.
[12] Tom Drummond,et al. Machine Learning for High-Speed Corner Detection , 2006, ECCV.
[13] Christof Teuscher,et al. The Weird, the Small, and the Uncontrollable: Redefining the Frontiers of Computing , 2017, Computer.
[14] Mark S. Lundstrom,et al. Sub-10 nm carbon nanotube transistor , 2011, 2011 International Electron Devices Meeting.
[15] Fabio L. Traversa,et al. Absence of chaos in Digital Memcomputing Machines with solutions , 2017, ArXiv.
[16] Fabio L. Traversa,et al. Taming a nonconvex landscape with dynamical long-range order: Memcomputing Ising benchmarks. , 2018, Physical review. E.
[17] Fabio L. Traversa,et al. Accelerating Deep Learning with Memcomputing , 2018, Neural Networks.
[18] Igor L. Markov,et al. Limits on fundamental limits to computation , 2014, Nature.
[19] Fabio L. Traversa,et al. MemComputing Integer Linear Programming , 2018, ArXiv.
[20] Jason Hoffman,et al. Ferroelectric Field Effect Transistors for Memory Applications , 2010, Advanced materials.
[21] Massimiliano Di Ventra,et al. Experimental demonstration of associative memory with memristive neural networks , 2009, Neural Networks.
[22] Shimeng Yu,et al. On-Chip Sparse Learning Acceleration With CMOS and Resistive Synaptic Devices , 2015, IEEE Transactions on Nanotechnology.
[23] Massimiliano Di Ventra,et al. Absence of periodic orbits in digital memcomputing machines with solutions. , 2017, Chaos.
[24] R. Feynman. Simulating physics with computers , 1999 .
[25] Fabio L. Traversa,et al. Universal Memcomputing Machines , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[26] A. Radenović,et al. Single-layer MoS2 transistors. , 2011, Nature nanotechnology.
[27] Ian O'Connor,et al. Computing with ferroelectric FETs: Devices, models, systems, and applications , 2018, 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[28] Damien Querlioz,et al. A neural network based on synchronized pairs of nano-oscillators , 2017, 2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO).
[29] Fabio L. Traversa,et al. Evidence of an exponential speed-up in the solution of hard optimization problems , 2017, Complex..
[30] Giacomo Indiveri,et al. Frontiers in Neuromorphic Engineering , 2011, Front. Neurosci..
[31] Giovanni De Micheli,et al. Advanced system on a chip design based on controllable-polarity FETs , 2014, 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[32] Ivica Kostanic,et al. Principles of Neurocomputing for Science and Engineering , 2000 .
[33] Giovanni De Micheli,et al. The Programmable Logic-in-Memory (PLiM) computer , 2016, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[34] Giovanni De Micheli,et al. Configurable Circuits Featuring Dual-Threshold-Voltage Design With Three-Independent-Gate Silicon Nanowire FETs , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.
[35] Peter W. Shor,et al. Algorithms for quantum computation: discrete logarithms and factoring , 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.
[36] Shimeng Yu,et al. NbOx based oscillation neuron for neuromorphic computing , 2017 .
[37] Kaushik Roy,et al. X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories , 2017, IEEE Transactions on Circuits and Systems I: Regular Papers.
[38] Fabio L. Traversa,et al. Topological Field Theory and Computing with Instantons , 2016, ArXiv.
[39] D. Deutsch. Quantum theory, the Church–Turing principle and the universal quantum computer , 1985, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.
[40] Zhuo Wang,et al. In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array , 2017, IEEE Journal of Solid-State Circuits.
[41] Fabio L. Traversa,et al. Memcomputing Numerical Inversion With Self-Organizing Logic Gates , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[42] Massimiliano Di Ventra,et al. Polynomial-time solution of prime factorization and NP-hard problems with digital memcomputing machines , 2015, Chaos.
[43] Gert Cauwenberghs,et al. Neuromorphic Silicon Neuron Circuits , 2011, Front. Neurosci.
[44] Andre K. Geim,et al. Electric Field Effect in Atomically Thin Carbon Films , 2004, Science.
[45] V. Kamakoti,et al. An Accuracy Tunable Non-Boolean Co-Processor Using Coupled Nano-Oscillators , 2017, ACM J. Emerg. Technol. Comput. Syst..
[46] Dhiraj K. Pradhan,et al. Design Automation and Test in Europe (DATE) , 2014 .
[47] Narayanan Vijaykrishnan,et al. Computational Architectures Based on Coupled Oscillators , 2014, 2014 IEEE Computer Society Annual Symposium on VLSI.
[48] Christof Teuscher,et al. Feedforward Chemical Neural Network : An In Silico Chemical System , 2018 .
[49] Renyuan Zhang,et al. CMOS supporting circuitries for nano-oscillator-based associative memories , 2012, 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications.
[50] Steven H. Adachi,et al. Application of Quantum Annealing to Training of Deep Neural Networks , 2015, ArXiv.
[51] S. Datta,et al. Pairwise coupled hybrid vanadium dioxide-MOSFET (HVFET) oscillators for non-boolean associative computing , 2014, 2014 IEEE International Electron Devices Meeting.
[52] Anand Raghunathan,et al. Computing in Memory With Spin-Transfer Torque Magnetic RAM , 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[53] Jan M. Rabaey,et al. Brain-inspired computing exploiting carbon nanotube FETs and resistive RAM: Hyperdimensional computing case study , 2018, 2018 IEEE International Solid - State Circuits Conference - (ISSCC).
[54] Sanjeev Arora,et al. Computational Complexity: A Modern Approach , 2009 .
[55] Fabio L. Traversa,et al. Instantons in self-organizing logic gates , 2017, ArXiv.
[56] Ameer Haj-Ali,et al. IMAGING: In-Memory AlGorithms for Image processiNG , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.
[57] E. Vianello,et al. Role of synaptic variability in resistive memory-based spiking neural networks with unsupervised learning , 2018, Journal of Physics D: Applied Physics.
[58] Fabio L. Traversa,et al. On the Universality of Memcomputing Machines , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[59] Massimiliano Di Ventra,et al. The parallel approach , 2013 .