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Dmitri B. Strukov
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- affiliation: University of California, Santa Barbara, USA
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2020 – today
- 2024
- [c39]Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, Adrien Renaudineau, Dmitri B. Strukov, John Paul Strachan:
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. ISCAS 2024: 1-5 - [c38]George Higgins Hutchinson
, Ethan Sifferman
FPIA: Field-Programmable Ising Arrays with In-Memory Computing. ISLPED 2024: 1-6 - [c37]Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, Dmitri B. Strukov:
HO-FPIA: High-Order Field-Programmable Ising Arrays with In-Memory Computing. ISVLSI 2024: 252-259 - [i24]George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya, Dmitri B. Strukov:
FPIA: Field-Programmable Ising Arrays with In-Memory Computing. CoRR abs/2401.16202 (2024) - [i23]Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov:
Computing High-Degree Polynomial Gradients in Memory. CoRR abs/2401.16204 (2024) - [i22]Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR abs/2407.02353 (2024) - 2023
- [i21]Mohammad Hizzani, Arne Heittmann, George Higgins Hutchinson, Dmitrii Dobrynin
Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines. CoRR abs/2311.01171 (2023) - 2021
- [j9]Georgios Tzimpragos
In-sensor classification with boosted race trees. Commun. ACM 64(6): 99-105 (2021) - [j8]Mohammad Bavandpour, Shubham Sahay
3D-aCortex: an ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories. Neuromorph. Comput. Eng. 1(1): 14001 (2021) - [j7]Z. Fahimi, Mohammad Reza Mahmoodi
The Impact of Device Uniformity on Functionality of Analog Passively-Integrated Memristive Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4090-4101 (2021) - [i20]Z. Fahimi, Mohammad Reza Mahmoodi, Michael Klachko, Hussein Nili, H. Kim, Dmitri B. Strukov:
Mitigating Imperfections in Mixed-Signal Neuromorphic Circuits. CoRR abs/2107.04236 (2021) - 2020
- [j6]Mohammad Bavandpour
Efficient Mixed-Signal Neurocomputing Via Successive Integration and Rescaling. IEEE Trans. Very Large Scale Integr. Syst. 28(3): 823-827 (2020) - [c36]Mohammad Bavandpour, Shubham Sahay
Mixed-Signal Vector-by-Matrix Multiplier Circuits Based on 3D-NAND Memories for Neurocomputing. DATE 2020: 696-701 - [i19]Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie:
Memristor Hardware-Friendly Reinforcement Learning. CoRR abs/2001.06930 (2020)
2010 – 2019
- 2019
- [j5]Mohammad Bavandpour
Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond. IEEE Trans. Circuits Syst. II Express Briefs 66-II(9): 1512-1516 (2019) - [c35]Georgios Tzimpragos
Boosted Race Trees for Low Energy Classification. ASPLOS 2019: 215-228 - [c34]Mohammad Reza Mahmoodi, Hussein Nili, Shabnam Larimian, Xinjie Guo, Dmitri B. Strukov
ChipSecure: A Reconfigurable Analog eFlash-Based PUF with Machine Learning Attack Resiliency in 55nm CMOS. DAC 2019: 137 - [c33]Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov
Improving Noise Tolerance of Mixed-Signal Neural Networks. IJCNN 2019: 1-8 - [c32]Irina Kataeva, Shigeki Ohtsuka, Hussein Nili, Hyungjin Kim
Towards the Development of Analog Neuromorphic Chip Prototype with 2.4M Integrated Memristors. ISCAS 2019: 1-5 - [c31]Nan Wu
Preliminary Results Towards Reinforcement Learning with Mixed-Signal Memristive Neuromorphic Circuits. ISCAS 2019: 1-5 - [i18]Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Improving Noise Tolerance of Mixed-Signal Neural Networks. CoRR abs/1904.01705 (2019) - [i17]Shubham Sahay, Mohammad Bavandpour, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Time-Domain Mixed-Signal Vector-by-Matrix Multiplier Exploiting 1T-1R Array. CoRR abs/1905.09454 (2019) - [i16]Hyungjin Kim, Hussein Nili, Mahmood Mahmoodi, Dmitri B. Strukov:
4K-Memristor Analog-Grade Passive Crossbar Circuit. CoRR abs/1906.12045 (2019) - [i15]Mohammad Bavandpour, Shubham Sahay, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories. CoRR abs/1908.02472 (2019) - 2018
- [j4]Farnood Merrikh-Bayat, Xinjie Guo, Michael Klachko, Mirko Prezioso, Konstantin K. Likharev
High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4782-4790 (2018) - [j3]Advait Madhavan, Tim Sherwood
High-Throughput Pattern Matching With CMOL FPGA Circuits: Case for Logic-in-Memory Computing. IEEE Trans. Very Large Scale Integr. Syst. 26(12): 2759-2772 (2018) - [c30]Mohammad Reza Mahmoodi, Dmitri B. Strukov
An ultra-low energy internally analog, externally digital vector-matrix multiplier based on NOR flash memory technology. DAC 2018: 22:1-22:6 - [c29]Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Mixed-Signal POp/J Computing with Nonvolatile Memories. ACM Great Lakes Symposium on VLSI 2018: 513 - [c28]Mohammad Reza Mahmoodi, Dmitri B. Strukov
Breaking POps/J Barrier with Analog Multiplier Circuits Based on Nonvolatile Memories. ISLPED 2018: 39:1-39:6 - [i14]Shubham Sahay, Dmitri B. Strukov:
A Behavioral Compact Model of 3D NAND Flash Memory. CoRR abs/1812.00290 (2018) - 2017
- [c27]Xinjie Guo, Farnood Merrikh-Bayat, Mirko Prezioso, Y. Chen, B. Nguyen, N. Do, Dmitri B. Strukov
Temperature-insensitive analog vector-by-matrix multiplier based on 55 nm NOR flash memory cells. CICC 2017: 1-4 - [c26]Advait Madhavan, Timothy Sherwood
A 4-mm2 180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions. CICC 2017: 1-4 - [c25]Miguel Angel Lastras-Montaño, Bhaswar Chakrabarti, Dmitri B. Strukov
3D-DPE: A 3D high-bandwidth dot-product engine for high-performance neuromorphic computing. DATE 2017: 1257-1260 - [c24]Gina C. Adam
Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives. ESSDERC 2017: 74-77 - [c23]Farnood Merrikh-Bayat, Mirko Prezioso, Bhaswar Chakrabarti, Irina Kataeva, Dmitri B. Strukov
Memristor-based perceptron classifier: Increasing complexity and coping with imperfect hardware. ICCAD 2017: 549-554 - [c22]Farnood Merrikh-Bayat, Xinjie Guo, Dmitri B. Strukov
Exponential-weight multilayer perceptron. IJCNN 2017: 3709-3715 - [i13]Dmitri Gavrilov, Dmitri B. Strukov, Konstantin K. Likharev:
Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Network. CoRR abs/1707.03855 (2017) - [i12]Mohammad Bavandpour, Mohammad Reza Mahmoodi, Dmitri B. Strukov:
Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond. CoRR abs/1711.10673 (2017) - [i11]F. Merrikh Bayat, Mirko Prezioso, Bhaswar Chakrabarti, Irina Kataeva, Dmitri B. Strukov:
Implementation of Multilayer Perceptron Network with Highly Uniform Passive Memristive Crossbar Circuits. CoRR abs/1712.01253 (2017) - 2016
- [c21]Advait Madhavan, Timothy Sherwood
Energy efficient computation with asynchronous races. DAC 2016: 108:1-108:6 - [c20]Gina C. Adam
Highly-uniform multi-layer ReRAM crossbar circuits. ESSDERC 2016: 436-439 - [c19]Lunkai Zhang, Brian Neely, Diana Franklin
Mellow Writes: Extending Lifetime in Resistive Memories through Selective Slow Write Backs. ISCA 2016: 519-531 - [c18]Mirko Prezioso, Y. Zhong, D. Gavrilov, Farnood Merrikh-Bayat, Brian Hoskins
Spiking neuromorphic networks with metal-oxide memristors. ISCAS 2016: 177-180 - [i10]Farnood Merrikh-Bayat, Fabien Alibart, Ligang Gao, Dmitri B. Strukov:
A Reconfigurable FIR Filter with Memristor-Based Weights. CoRR abs/1608.05445 (2016) - [i9]Farnood Merrikh-Bayat, Xinjie Guo, Michael Klachko, Mirko Prezioso, Konstantin K. Likharev, Dmitri B. Strukov:
Sub-1-us, Sub-20-nJ Pattern Classification in a Mixed-Signal Circuit Based on Embedded 180-nm Floating-Gate Memory Cell Arrays. CoRR abs/1610.02091 (2016) - [i8]Xinjie Guo, Farnood Merrikh-Bayat, Mirko Prezioso, Y. Chen, B. Nguyen, N. Do, Dmitri B. Strukov:
Temperature-Insensitive Analog Vector-by-Matrix Multiplier Based on 55 nm NOR Flash Memory Cells. CoRR abs/1611.03379 (2016) - [i7]Farnood Merrikh-Bayat, Mirko Prezioso, Bhaswar Chakrabarti, Irina Kataeva, Dmitri B. Strukov:
Advancing Memristive Analog Neuromorphic Networks: Increasing Complexity, and Coping with Imperfect Hardware Components. CoRR abs/1611.04465 (2016) - [i6]Hussein Nili, Gina C. Adam, Mirko Prezioso, Jeeson Kim, Farnood Merrikh-Bayat, Omid Kavehei, Dmitri B. Strukov:
Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays. CoRR abs/1611.07946 (2016) - 2015
- [j2]Advait Madhavan, Timothy Sherwood
Race Logic: Abusing Hardware Race Conditions to Perform Useful Computation. IEEE Micro 35(3): 48-57 (2015) - [c17]Irina Kataeva, Farnood Merrikh-Bayat, Elham Zamanidoost, Dmitri B. Strukov
Efficient training algorithms for neural networks based on memristive crossbar circuits. IJCNN 2015: 1-8 - [c16]Melika Payvand, Advait Madhavan, Miguel Angel Lastras-Montaño, Amirali Ghofrani, Justin Rofeh, Kwang-Ting Cheng
A configurable CMOS memory platform for 3D-integrated memristors. ISCAS 2015: 1378-1381 - [c15]Farnood Merrikh-Bayat, Xinjie Guo, H. A. Ommani, N. Do, Konstantin K. Likharev, Dmitri B. Strukov
Redesigning commercial floating-gate memory for analog computing applications. ISCAS 2015: 1921-1924 - [c14]Elham Zamanidoost, Michael Klachko, Dmitri B. Strukov
Low area overhead in-situ training approach for memristor-based classifier. NANOARCH 2015: 139-142 - [i5]Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins, Konstantin K. Likharev, Dmitri B. Strukov:
Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors. CoRR abs/1505.05549 (2015) - [i4]Gina C. Adam
Three-Dimensional Stateful Material Implication Logic. CoRR abs/1509.02986 (2015) - 2014
- [c13]Lunkai Zhang, Dmitri B. Strukov
SpongeDirectory: flexible sparse directories utilizing multi-level memristors. PACT 2014: 61-74 - [c12]Advait Madhavan, Timothy Sherwood
Race Logic: A hardware acceleration for dynamic programming algorithms. ISCA 2014: 517-528 - [i3]Farnood Merrikh-Bayat, Xinjie Guo, H. A. Ommani, N. Do, Konstantin K. Likharev, Dmitri B. Strukov:
Redesigning Commercial Floating-Gate Memory for Analog Computing Applications. CoRR abs/1410.4781 (2014) - [i2]Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov:
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors. CoRR abs/1412.0611 (2014) - 2013
- [c11]Hebatallah Saadeldeen, Diana Franklin, Guoping Long, Charlotte Hill, Aisha Browne, Dmitri B. Strukov
Memristors for neural branch prediction: a case study in strict latency and write endurance challenges. Conf. Computing Frontiers 2013: 26:1-26:10 - [c10]Ligang Gao, Farnood Merrikh-Bayat, Fabien Alibart, Xinjie Guo, Brian D. Hoskins
Digital-to-analog and analog-to-digital conversion with metal oxide memristors for ultra-low power computing. NANOARCH 2013: 19-22 - 2012
- [c9]Kwang-Ting (Tim) Cheng
3D CMOS-memristor hybrid circuits: devices, integration, architecture, and applications. ISPD 2012: 33-40 - [c8]Advait Madhavan, Dmitri B. Strukov
Mapping of image and network processing tasks on high-throughput CMOL FPGA circuits. VLSI-SoC 2012: 82-87 - [c7]Ligang Gao, Fabien Alibart, Dmitri B. Strukov
Analog-input analog-weight dot-product operation with Ag/a-Si/Pt memristive devices. VLSI-SoC 2012: 88-93 - 2011
- [j1]Dmitri B. Strukov
Nanotechnology: Smart connections. Nat. 476(7361): 403-405 (2011) - [c6]Fabien Alibart, Timothy Sherwood
Hybrid CMOS/nanodevice circuits for high throughput pattern matching applications. AHS 2011: 279-286 - [i1]Fabien Alibart, Ligang Gao, Brian Hoskins, Dmitri B. Strukov:
High-Precision Tuning of State for Memristive Devices by Adaptable Variation-Tolerant Algorithm. CoRR abs/1110.1393 (2011) - 2010
- [c5]Dmitri B. Strukov
Monolithically stackable hybrid FPGA. DATE 2010: 661-666 - [c4]Dmitri B. Strukov
Hybrid CMOS/memristor circuits. ISCAS 2010: 1967-1970
2000 – 2009
- 2007
- [c3]Dmitri B. Strukov
Prospects for the development of digital CMOL circuits. NANOARCH 2007: 109-116 - 2006
- [c2]Dmitri B. Strukov, Konstantin K. Likharev:
CMOL FPGA circuits. CDES 2006: 213-219 - [c1]Dmitri B. Strukov
A reconfigurable architecture for hybrid CMOS/Nanodevice circuits. FPGA 2006: 131-140
Coauthor Index
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