CAPSL Probabilistic Spin Logic for Low-Energy Boolean and Non-Boolean Computing

CAPSL Publications 2017-2020

Journal Articles:

2020

  1. W. Huang, J. Liu, S. Das, K. Inzani, V.V. Laguta, R. Chatterjee, E. Sheridan, S.M. Griffin, A. Ardavan, and R. Ramesh
    Coherent electric-field manipulation of spins in doped PbTiO3
    Nature Materials, under review (2020).
  2. S. Sheikhfaal and R. F. DeMara
    Short-Term Long-Term Compute-In-Memory Architecture: A Hybrid Spin/CMOS Approach Supporting Intrinsic Consolidation
    IEEE Journal on Exploratory Solid-State Computational Devices and Circuits XX, xxx-xxx (2020).
  3. H. Pourmeidani, S. Sheikhfaal, R. Zand, and R. F. DeMara
    Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs with p-bit Devices
    IEEE Transactions on Emerging Topics in Computing XX, xxx-xxx (2020).
  4. T. Shen, V. Ostwal, K.Y. Camsari, and J. Appenzeller
    Demonstration of a pseudo-magnetization based simultaneous write and read operation in a Co60Fe20B20/ Pb(Mg1/3Nb2/3)0.7Ti0.3O3 heterostructure
    accepted as IEEE Proceedings XX, xxx-xxx (2020).
  5. K. Camsari, P. Debashis, V. Ostwal, A.Z. Pervaiz, T. Shen, Z. Chen, S. Datta, and J. Appenzeller
    From charge to spin and spin to charge – Unstable magnets for probabilistic switching
    ACM Journal on Emerging Technologies in Computing Systems (JETC), in-press (2019).
    (Selected to Special Issue on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning).
  6. P. Debashis, R. Faria, K. Y. Camsari, S. Datta, Z. Chen
    Correlated fluctuations in spin orbit torque-coupled perpendicular nanomagnets
    accepted as Physical Review B XX, xxx-xxx (2020).
  7. H. Taz, B. Prasad, Y.-L. Huang, Z. Chen, S.-L. Hsu, R. Xu, V. Thakare, T.S. Sakthivel, C. Liu, M. Hettick, R. Mukherjee, S. Seal, L.W. Martin, A. Javey, G. Duscher, R. Ramesh, and R. Kalyanaraman
    Amorphous ferromagnetic oxides for room temperature magnetoelectrics
    Nature Scientific Reports 10, 3583 (2020).
  8. V. Ostwal, T. Shen, and J. Appenzeller
    Efficient spin-orbit torque switching of the semiconducting van der Waals ferromagnet Cr2Ge2Te6
    Advanced Materials 32, 1906021-1–1906021-7 (2020).
  9. V. Ostwal, R. Zand, R. DeMara, and J. Appenzeller
    A novel compound synapse using probabilistic spin-orbit-torque switching for MTJ based deep neural network
    IEEE JxCDC 5, 182-187 (2020).

2019

  1. A. Roohi, S. Sheikhfaal, S. Angizi, D. Fan, and R. F. DeMara
    ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components
    IEEE Transactions on Computers 69, 349-360 (2019).
  2. Y. Lv, R. P. Bloom, and J.-P. Wang
    Experimental Demonstration of Probabilistic Spin Logic by Magnetic Tunnel Junctions
    IEEE Magnetics Letters, 10, DOI: 10.1109/LMAG.2019.2957258 (2019).
  3. B. R. Zink, Y. Lv, and J.-P. Wang
    Independent Control of Antiparallel-and Parallel-State Thermal Stability Factors in Magnetic Tunnel Junctions for Telegraphic Signals with Two Degrees of Tunability
    IEEE Transactions on Electron Devices 66, 5353-5359 (2019).
  4. S. D. Pyle, J. D. Sapp, and R. F. DeMara
    Leveraging Stochasticity for In-Situ Learning in Binarized Deep Neural Networks
    IEEE Computer Magazine, Special Issue on Cognitive Computing Systems and Applications 52, 30-39, (2019).
  5. R. Zand, K. Y. Camsari, S. Datta, and R. F. DeMara
    Composable Probabilistic Inference Networks using MRAM-based Stochastic Neurons
    ACM Journal on Emerging Technologies in Computing Systems (JETC), in-press (2019).
    (Selected to Special Issue on Hardware and Algorithms for Energy-Constrained On-chip Machine Learning).
  6. V. Ostwal and J. Appenzeller
    Spin-orbit torque controlled Magnetic Tunnel Junction with low thermal stability for tunable random number generation
    IEEE Magnetics Letters 10, 4503305-1 – 4503305-5 (2019).
  7. O. Hassan, R. Faria, K.Y. Camsari, J.Z. Sun, and S. Datta
    Energy and Delay of Hardware Binary Stochastic Neurons
    IEEE Magnetics Letters 10, 4502805-1 – 4502805-5 (2019).

2018

  1. B. R. Zink, Y. Lv, and J.-P. Wang
    Telegraphic switching signals by magnet tunnel junctions for neural spiking signals with high information capacity
    Journal of Applied Physics 124, 152121 (2018).
  2. J. Song, I. Ahmed, Z. Zhao, D. Zhang, S. Sapatnekar, J. Wang, and C.H. Kim
    Evaluation of Operating Margin and Switching Probability of Voltage Controlled Magnetic Anisotropy (VCMA) Magnetic Tunnel Junctions
    IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (JxCDC) 4, 76-84 (2018).
  3. R. Zand, K. Y. Camsari, S. Datta, and R. F. DeMara
    Composable Probabilistic Inference Networks using MRAM-based Stochastic Neurons
    arXiv preprint arXiv:1811.11390 (2018).
  4. S. D. Pyle, K. Camsari, and R. F. DeMara
    Hybrid Spin-CMOS Stochastic Spiking Neuron for High-Speed Emulation of In-Vivo Neuron Dynamics
    IET Computers & Digital Techniques 12, 122-129 (2018).
  5. D. Punyashloka and Z. Chen
    Experimental Demonstration of a Spin Logic Device with Deterministic and Stochastic Mode of Operation
    Scientific reports 8, 11405 (2018).
  6. D. Punyashloka, R. Faria, K.Y. Camsari, and Z. Chen
    Design of Stochastic Nanomagnets for Probabilistic Spin Logic
    IEEE Magnetics Letters 9, 1-5 (2018).
  7. V. Ostwal, D. Punyashloka, F. Rafatul, Z. Chen, and J. Appenzeller
    Spin-torque devices with hard axis initialization as Stochastic Binary Neurons
    Scientific reports 8, 16689 (2018).

Conference Proceedings:

2020

  1. P. Wood, H. Pourmeidani, R.F. DeMara
    Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks
    Proceedings of 2020 IEEE Southeastern Conference (SECon-2020) Raleigh, NC, USA, March 12-15, 2020.
  2. Ibrahim Ahmed, Powei Chiu, and Chris H. Kim
    A Probabilistic Self-annealing Compute Fabric based on 560 Hexagonally Coupled Ring Oscillators for Solving Combinatorial Optimization Problems
    Symposia on VLSI Technology and Circuits, June 14-19, 2020.

2019

  1. S. Sheikhfaal, S.D. Pyle, S. Salehi, and R. F. DeMara
    An Ultra-Low Power Spintronic Stochastic Spiking Neuron with Self-Adaptive Discrete Sampling
    Proceedings of IEEE Midwest Symposium on Circuits and Systems (MWSCAS-2019), Dallas, TX, USA, Aug. 4 – 7, 2019.
  2. S. Salehi, A. Zaeemzadeh, A. Tatulian, N. Rahnavard, and R F. DeMara
    MRAM-based Stochastic Oscillators for Adaptive Non-Uniform Sampling of Sparse Signals in IoT Applications
    Proceedings of IEEE Computer Society Annual Symposium on VLSI (ISVLSI-2019), Miami, FL, U.S.A., July 15 – 17, 2019.
  3. S Salehi, R. Zand, A. Zaeemzadeh, N. Rahnavard, and R. F. DeMara
    AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Spectrally Sparse Signals
    Proceedings of 29th ACM Great Lakes Symposium on VLSI (GLSVLSI-2019), Washington DC, USA, May 9 – 11, 2019.
  4. R. Zand and R. F. DeMara
    HSC-FPGA: A Hybrid Spin/Charge FPGA Leveraging the Cooperating Strengths of CMOS and MTJ Devices
    Proceedings of 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Seaside, CA, USA, February 24-26 (2019).
  5. D. Punyashloka, P. Upadhyaya and Z. Chen
    Electrical Annealing and Stochastic Resonance in Low Barrier Perpendicular Nanomagnets for Oscillatory NeuralNetworks
    77th Device Research Conference (DRC), (2019).
  6. M. Eisinger, R. Zand, A. Adepegba, and R. F. DeMara
    Training Optimization of Restricted Boltzmann Machines using a Contrastive Divergence Algorithm
    Proceedings of 2019 IEEE Southeastern Conference (SECon-2019), Huntsville, AL, USA, April 11-14 (2019).
  7. A. Adepegba, R. Zand, and R. F. DeMara
    Noise Sensitivity Analysis of Deep Belief Networks: A Monte Carlo Simulation for Memristive Crossbars
    Proceedings of 2019 IEEE Southeastern Conference (SECon-2019), Huntsville, AL, USA, April 11-14 (2019).

2018

  1. R. Zand and R. F. DeMara
    SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks
    Proceedings of IEEE International Conference on Rebooting Computing (ICRC-2018), pp. 1-8, Washington, DC, USA, November 7-9 (2018).
  2. R. Zand, K. Y. Camsari, S. D. Pyle, I. Ahmed, C. H. Kim, and R. F. DeMara
    Low-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons
    Proceedings of 27th IEEE/ACM Great Lakes Symposium on VLSI (GLSVLSI-2018), Chicago, IL, USA, May 23-25 (2018).
  3. D. Punyashloka and Z. Chen
    Tunable Random Number Generation Using Single Superparamagnet with Perpendicular Magnetic Anisotropy
    76th Device Research Conference (DRC), pp. 1-2. (2018).

2017

  1. R. F. DeMara, A. Roohi, R. Zand, and S. D. Pyle
    Heterogeneous Technology Configurable Fabrics for Field Programmable Co-design of CMOS and Spin-based Devices
    Proceedings of IEEE International Conference on Rebooting Computing (ICRC-2017), pp. 1-4, Washington, DC, USA, November 8-9 (2017).