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Shahar Kvatinsky
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2020 – today
- 2024
- [j40]Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky:
TDPP: 2-D Permutation-Based Protection of Memristive Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 742-755 (2024) - [j39]Henriette Padberg, Amir Regev, Giuseppe Piccolboni, Alessandro Bricalli, Gabriel Molas, Jean-Francois Nodin, Shahar Kvatinsky:
Experimental Demonstration of Non-Stateful In-Memory Logic With 1T1R OxRAM Valence Change Mechanism Memristors. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 395-399 (2024) - [j38]Ben Perach, Ronny Ronen, Benny Kimelfeld, Shahar Kvatinsky:
Understanding Bulk-Bitwise Processing In-Memory Through Database Analytics. IEEE Trans. Emerg. Top. Comput. 12(1): 7-22 (2024) - [c52]Jiang Li, Yijun Cui, Chenghua Wang, Weiqiang Liu, Shahar Kvatinsky:
A Concealable RRAM Physical Unclonable Function Compatible with In-Memory Computing. DATE 2024: 1-6 - [c51]Arjun Tyagi, Shahar Kvatinsky:
Assessing the Performance of Stateful Logic in 1-Selector-1-RRAM Crossbar Arrays. ISCAS 2024: 1-5 - [c50]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
PyPIM: Integrating Digital Processing-in-Memory from Microarchitectural Design to Python Tensors. MICRO 2024: 1632-1647 - [c49]Noa Aflalo, Eilam Yalon, Shahar Kvatinsky:
Bitwise Logic Using Phase Change Memory Devices Based on the Pinatubo Architecture. VLSID 2024: 583-586 - [i41]Sariel Hodisan, Shahar Kvatinsky:
Transimpedance Amplifier with Automatic Gain Control Based on Memristors for Optical Signal Acquisition. CoRR abs/2405.02169 (2024) - [i40]Loai Danial, Kanishka Sharma, Shahar Kvatinsky:
A Pipelined Memristive Neural Network Analog-to-Digital Converter. CoRR abs/2406.02197 (2024) - [i39]Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser:
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR abs/2407.02353 (2024) - [i38]Arjun Tyagi, Shahar Kvatinsky:
Assessing the Performance of Stateful Logic in 1-Selector-1-RRAM Crossbar Arrays. CoRR abs/2407.10466 (2024) - [i37]Noa Aflalo, Eilam Yalon, Shahar Kvatinsky:
Bitwise Logic Using Phase Change Memory Devices Based on the Pinatubo Architecture. CoRR abs/2408.07228 (2024) - [i36]Rotem Ben Hur, Orian Leitersdorf, Ronny Ronen, Lidor Goldshmidt, Idan Magram, Lior Kaplun, Leonid Yavitz, Shahar Kvatinsky:
Accelerating DNA Read Mapping with Digital Processing-in-Memory. CoRR abs/2411.03832 (2024) - 2023
- [j37]Orian Leitersdorf, Dean Leitersdorf, Jonathan Gal, Mor M. Dahan, Ronny Ronen, Shahar Kvatinsky:
AritPIM: High-Throughput In-Memory Arithmetic. IEEE Trans. Emerg. Top. Comput. 11(3): 720-735 (2023) - [j36]Marcel Khalifa, Barak Hoffer, Orian Leitersdorf, Robert Hanhan, Ben Perach, Leonid Yavits, Shahar Kvatinsky:
ClaPIM: Scalable Sequence Classification Using Processing-in-Memory. IEEE Trans. Very Large Scale Integr. Syst. 31(9): 1347-1357 (2023) - [c48]Ben Perach, Ronny Ronen, Shahar Kvatinsky:
On Consistency for Bulk-Bitwise Processing-in-Memory. HPCA 2023: 705-717 - [c47]Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Accelerating Relational Database Analytical Processing with Bulk-Bitwise Processing-in-Memory. NEWCAS 2023: 1-5 - [c46]Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Enabling Relational Database Analytical Processing in Bulk-Bitwise Processing-In-Memory. SOCC 2023: 1-6 - [i35]Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Enabling Relational Database Analytical Processing in Bulk-Bitwise Processing-In-Memory. CoRR abs/2302.01675 (2023) - [i34]Marcel Khalifa, Barak Hoffer, Orian Leitersdorf, Robert Hanhan, Ben Perach, Leonid Yavits, Shahar Kvatinsky:
ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory. CoRR abs/2302.08284 (2023) - [i33]Orian Leitersdorf, Yahav Boneh, Gonen Gazit, Ronny Ronen, Shahar Kvatinsky:
FourierPIM: High-Throughput In-Memory Fast Fourier Transform and Polynomial Multiplication. CoRR abs/2304.02336 (2023) - [i32]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
ConvPIM: Evaluating Digital Processing-in-Memory through Convolutional Neural Network Acceleration. CoRR abs/2305.04122 (2023) - [i31]Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Accelerating Relational Database Analytical Processing with Bulk-Bitwise Processing-in-Memory. CoRR abs/2307.00658 (2023) - [i30]Ben Perach, Shahar Kvatinsky:
An Asynchronous and Low-Power True Random Number Generator using STT-MTJ. CoRR abs/2307.14476 (2023) - [i29]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
CUDA-PIM: End-to-End Integration of Digital Processing-in-Memory from High-Level C++ to Microarchitectural Design. CoRR abs/2308.14007 (2023) - [i28]Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky:
TDPP: Two-Dimensional Permutation-Based Protection of Memristive Deep Neural Networks. CoRR abs/2310.06989 (2023) - [i27]Henriette Padberg, Amir Regev, Giuseppe Piccolboni, Alessandro Bricalli, Gabriel Molas, Jean-François Nodin, Shahar Kvatinsky:
Experimental Demonstration of Non-Stateful In-Memory Logic with 1T1R OxRAM Valence Change Mechanism Memristors. CoRR abs/2310.16843 (2023) - 2022
- [j35]Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo, Yang Li, Minhui Zou, Eric Herbelin, Ronny Ronen, Xiaoxin Xu, Yulin Zhao, Jianguo Yang, Shahar Kvatinsky:
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices. Adv. Intell. Syst. 4(5) (2022) - [j34]Ronny Ronen, Adi Eliahu, Orian Leitersdorf, Natan Peled, Kunal Korgaonkar, Anupam Chattopadhyay, Ben Perach, Shahar Kvatinsky:
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems. ACM J. Emerg. Technol. Comput. Syst. 18(2): 43:1-43:29 (2022) - [j33]Mor M. Dahan, Evelyn T. Breyer, Stefan Slesazeck, Thomas Mikolajick, Shahar Kvatinsky:
C-AND: Mixed Writing Scheme for Disturb Reduction in 1T Ferroelectric FET Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 69(4): 1595-1605 (2022) - [j32]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
MultPIM: Fast Stateful Multiplication for Processing-in-Memory. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1647-1651 (2022) - [j31]Issa Salameh, Eby G. Friedman, Shahar Kvatinsky:
Superconductive Logic Using 2ϕ - Josephson Junctions With Half Flux Quantum Pulses. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2533-2537 (2022) - [c45]Aharon Gero, Mohammed Ali Hadish, Shahar Kvatinsky:
Undergraduate Students' Attitudes Toward an Engineering Course that Integrates Several Levels of Abstraction. ICL (2) 2022: 491-497 - [c44]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
MatPIM: Accelerating Matrix Operations with Memristive Stateful Logic. ISCAS 2022: 215-219 - [c43]Minhui Zou, Junlong Zhou, Xiaotong Cui, Wei Wang, Shahar Kvatinsky:
Enhancing Security of Memristor Computing System Through Secure Weight Mapping. ISVLSI 2022: 182-187 - [c42]Batel Oved, Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
HashPIM: High-Throughput SHA-3 via Memristive Digital Processing-in-Memory. MOCAST 2022: 1-4 - [i26]Wei Wang, Loai Danial, Eric Herbelin, Barak Hoffer, Batel Oved, Tzofnat Greenberg-Toledo, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky:
Physical based compact model of Y-Flash memristor for neuromorphic computation. CoRR abs/2202.10228 (2022) - [i25]Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo, Yang Li, Minhui Zou, Eric Herbelin, Ronny Ronen, Xiaoxin Xu, Yulin Zhao, Jianguo Yang, Shahar Kvatinsky:
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices. CoRR abs/2203.07884 (2022) - [i24]Wei Wang, Loai Danial, Yang Li, Eric Herbelin, Evgeny Pikhay, Yakov Roizin, Barak Hoffer, Zhongrui Wang, Shahar Kvatinsky:
Memristive deep belief neural network by silicon synapses. CoRR abs/2203.09046 (2022) - [i23]Ben Perach, Ronny Ronen, Benny Kimelfeld, Shahar Kvatinsky:
PIMDB: Understanding Bulk-Bitwise Processing In-Memory Through Database Analytics. CoRR abs/2203.10486 (2022) - [i22]Mor M. Dahan, Evelyn T. Breyer, Stefan Slesazeck, Thomas Mikolajick, Shahar Kvatinsky:
C-AND: Mixed Writing Scheme for Disturb Reduction in 1T Ferroelectric FET Memory. CoRR abs/2205.12061 (2022) - [i21]Batel Oved, Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
HashPIM: High-Throughput SHA-3 via Memristive Digital Processing-in-Memory. CoRR abs/2205.13559 (2022) - [i20]Shahar Kvatinsky:
Making Real Memristive Processing-in-Memory Faster and Reliable. CoRR abs/2205.14584 (2022) - [i19]Marcel Khalifa, Rotem Ben Hur, Ronny Ronen, Orian Leitersdorf, Leonid Yavits, Shahar Kvatinsky:
FiltPIM: In-Memory Filter for DNA Sequencing. CoRR abs/2205.15140 (2022) - [i18]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
PartitionPIM: Practical Memristive Partitions for Fast Processing-in-Memory. CoRR abs/2206.04200 (2022) - [i17]Orian Leitersdorf, Dean Leitersdorf, Jonathan Gal, Mor M. Dahan, Ronny Ronen, Shahar Kvatinsky:
AritPIM: High-Throughput In-Memory Arithmetic. CoRR abs/2206.04218 (2022) - [i16]Minhui Zou, Junlong Zhou, Xiaotong Cui, Wei Wang, Shahar Kvatinsky:
Enhancing Security of Memristor Computing System Through Secure Weight Mapping. CoRR abs/2206.14498 (2022) - [i15]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
MatPIM: Accelerating Matrix Operations with Memristive Stateful Logic. CoRR abs/2206.15165 (2022) - [i14]Barak Hoffer, Shahar Kvatinsky:
Performing Stateful Logic Using Spin-Orbit Torque (SOT) MRAM. CoRR abs/2208.00741 (2022) - [i13]Adi Eliahu, Rotem Ben Hur, Ronny Ronen, Shahar Kvatinsky:
abstractPIM: A Technology Backward-Compatible Compilation Flow for Processing-In-Memory. CoRR abs/2208.14472 (2022) - [i12]Ben Perach, Ronny Ronen, Shahar Kvatinsky:
On Consistency for Bulk-Bitwise Processing-in-Memory. CoRR abs/2211.07542 (2022) - [i11]Minhui Zou, Nan Du, Shahar Kvatinsky:
Review of security techniques for memristor computing systems. CoRR abs/2212.09347 (2022) - [i10]Barak Hoffer, Nicolás Wainstein, Christopher M. Neumann, Eric Pop, Eilam Yalon, Shahar Kvatinsky:
Stateful Logic using Phase Change Memory. CoRR abs/2212.14377 (2022) - 2021
- [j30]Dalibor Biolek, Zdenek Kolka, Viera Biolková, Zdenek Biolek, Shahar Kvatinsky:
(V)TEAM for SPICE Simulation of Memristive Devices With Improved Numerical Performance. IEEE Access 9: 30242-30255 (2021) - [j29]Adi Eliahu, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
multiPULPly: A Multiplication Engine for Accelerating Neural Networks on Ultra-low-power Architectures. ACM J. Emerg. Technol. Comput. Syst. 17(2): 24:1-24:27 (2021) - [j28]Minhui Zou, Junlong Zhou, Jin Sun, Chengliang Wang, Shahar Kvatinsky:
Improving Efficiency and Lifetime of Logic-in-Memory by Combining IMPLY and MAGIC Families. J. Syst. Archit. 119: 102232 (2021) - [j27]Nicolás Wainstein, Gina C. Adam, Eilam Yalon, Shahar Kvatinsky:
Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey. Proc. IEEE 109(1): 77-95 (2021) - [c41]Orian Leitersdorf, Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Efficient Error-Correcting-Code Mechanism for High-Throughput Memristive Processing-in-Memory. DAC 2021: 199-204 - [c40]Marcel Khalifa, Rotem Ben Hur, Ronny Ronen, Orian Leitersdorf, Leonid Yavits, Shahar Kvatinsky:
FiltPIM: In-Memory Filter for DNA Sequencing. ICECS 2021: 1-4 - [c39]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
Making Memristive Processing-in-Memory Reliable. ICECS 2021: 1-6 - [e1]Andrea Calimera, Pierre-Emmanuel Gaillardon, Kunal Korgaonkar, Shahar Kvatinsky, Ricardo Reis:
VLSI-SoC: Design Trends - 28th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2020, Salt Lake City, UT, USA, October 6-9, 2020, Revised and Extended Selected Papers. IFIP Advances in Information and Communication Technology 621, Springer 2021, ISBN 978-3-030-81640-7 [contents] - [i9]Orian Leitersdorf, Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Efficient Error-Correcting-Code Mechanism for High-Throughput Memristive Processing-in-Memory. CoRR abs/2105.04212 (2021) - [i8]Ronny Ronen, Adi Eliahu, Orian Leitersdorf, Natan Peled, Kunal Korgaonkar, Anupam Chattopadhyay, Ben Perach, Shahar Kvatinsky:
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems. CoRR abs/2107.10308 (2021) - [i7]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
MultPIM: Fast Stateful Multiplication for Processing-in-Memory. CoRR abs/2108.13378 (2021) - [i6]Orian Leitersdorf, Ronny Ronen, Shahar Kvatinsky:
Making Memristive Processing-in-Memory Reliable. CoRR abs/2109.09687 (2021) - 2020
- [j26]Hanna Abo Hanna, Loai Danial, Shahar Kvatinsky, Ramez Daniel:
Cytomorphic Electronics With Memristors for Modeling Fundamental Genetic Circuits. IEEE Trans. Biomed. Circuits Syst. 14(3): 386-401 (2020) - [j25]Rotem Ben Hur, Ronny Ronen, Ameer Haj Ali, Debjyoti Bhattacharjee, Adi Eliahu, Natan Peled, Shahar Kvatinsky:
SIMPLER MAGIC: Synthesis and Mapping of In-Memory Logic Executed in a Single Row to Improve Throughput. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2434-2447 (2020) - [c38]Loai Danial, Vasu Gupta, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky:
Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing. DATE 2020: 472-477 - [c37]Vishal Gupta, Danilo Pellegrini, Saurabh Khandelwal, Abusaleh M. Jabir, Shahar Kvatinsky, Eugenio Martinelli, Corrado Di Natale, Marco Ottavi:
Sensing with Memristive Complementary Resistive Switch: Modelling and Simulations. DFT 2020: 1-6 - [c36]Loai Danial, Shahar Kvatinsky:
Breaking the Conversion Wall in Mixed-Signal Systems Using Neuromorphic Data Converters. ECCTD 2020: 1-4 - [c35]Debjyoti Bhattacharjee, Anupam Chattopadhyay, Srijit Dutta, Ronny Ronen, Shahar Kvatinsky:
CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit. ICCAD 2020: 150:1-150:9 - [c34]Loai Danial, Kanishka Sharma, Shahar Kvatinsky:
A Pipelined Memristive Neural Network Analog-to-Digital Converter. ISCAS 2020: 1-5 - [c33]Ben Perach, Shahar Kvatinsky:
An Asynchronous and Low-Power True Random Number Generator using STT-MTJ. ISCAS 2020: 1 - [c32]Adi Eliahu, Rotem Ben Hur, Ronny Ronen, Shahar Kvatinsky:
abstractPIM: Bridging the Gap Between Processing-In-Memory Technology and Instruction Set Architecture. VLSI-SOC 2020: 28-33 - [c31]Natan Peled, Rotem Ben Hur, Ronny Ronen, Shahar Kvatinsky:
X-MAGIC: Enhancing PIM Using Input Overwriting Capabilities. VLSI-SOC 2020: 64-69 - [c30]Adi Eliahu, Rotem Ben Hur, Ronny Ronen, Shahar Kvatinsky:
abstractPIM: A Technology Backward-Compatible Compilation Flow for Processing-In-Memory. VLSI-SoC (Selected Papers) 2020: 343-361 - [i5]Debjyoti Bhattacharjee, Anupam Chattopadhyay, Srijit Dutta, Ronny Ronen, Shahar Kvatinsky:
CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit. CoRR abs/2009.00881 (2020)
2010 – 2019
- 2019
- [j24]Nishil Talati, Heonjae Ha, Ben Perach, Ronny Ronen, Shahar Kvatinsky:
CONCEPT: A Column-Oriented Memory Controller for Efficient Memory and PIM Operations in RRAM. IEEE Micro 39(1): 33-43 (2019) - [j23]Nimrod Wald, Shahar Kvatinsky:
Understanding the influence of device, circuit and environmental variations on real processing in memristive memory using Memristor Aided Logic. Microelectron. J. 86: 22-33 (2019) - [j22]Misbah Ramadan, Nicolás Wainstein, Ran Ginosar, Shahar Kvatinsky:
Adaptive programming in multi-level cell ReRAM. Microelectron. J. 90: 169-180 (2019) - [j21]Edouard Giacomin, Tzofnat Greenberg-Toledo, Shahar Kvatinsky, Pierre-Emmanuel Gaillardon:
A Robust Digital RRAM-Based Convolutional Block for Low-Power Image Processing and Learning Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(2): 643-654 (2019) - [j20]Tzofnat Greenberg-Toledo, Roee Mazor, Ameer Haj Ali, Shahar Kvatinsky:
Supporting the Momentum Training Algorithm Using a Memristor-Based Synapse. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(4): 1571-1583 (2019) - [j19]Ben Perach, Shahar Kvatinsky:
An Asynchronous and Low-Power True Random Number Generator Using STT-MTJ. IEEE Trans. Very Large Scale Integr. Syst. 27(11): 2473-2484 (2019) - [c29]Shahar Kvatinsky:
Real Processing-in-Memory with Memristive Memory Processing Unit (mMPU). ASAP 2019: 142-148 - [c28]Loai Danial, Kanishka Sharma, Shivansh Dwivedi, Shahar Kvatinsky:
Logarithmic Neural Network Data Converters using Memristors for Biomedical Applications. BioCAS 2019: 1-4 - [c27]Ben Perach, Shahar Kvatinsky:
STT-ANGIE: Asynchronous True Random Number GEnerator Using STT-MTJ. DATE 2019: 264-267 - [c26]Jeffry Louis, Barak Hoffer, Shahar Kvatinsky:
Performing Memristor-Aided Logic (MAGIC) using STT-MRAM. ICECS 2019: 787-790 - [c25]Marco Ottavi, Vishal Gupta, Saurabh Khandelwal, Shahar Kvatinsky, Jimson Mathew, Eugenio Martinelli, Abusaleh M. Jabir:
The Missing Applications Found: Robust Design Techniques and Novel Uses of Memristors. IOLTS 2019: 159-164 - [c24]Loai Danial, Sidharth Thomas, Shahar Kvatinsky:
Delta-Sigma Modulation Neurons for High-Precision Training of Memristive Synapses in Deep Neural Networks. ISCAS 2019: 1-5 - [c23]Nicolás Wainstein, Tamir Tsabari, Yarden Goldin, Eilam Yalon, Shahar Kvatinsky:
A Dual-Band CMOS Low-Noise Amplifier using Memristor-Based Tunable Inductors. ISVLSI 2019: 290-295 - [c22]Shahar Kvatinsky:
Real Processing-In-Memory with Memristive Memory Processing Unit. SPACE 2019: 5-8 - [c21]João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon:
A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories. VLSI-SoC 2019: 160-165 - [c20]João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon:
Accelerating Inference on Binary Neural Networks with Digital RRAM Processing. VLSI-SoC (Selected Papers) 2019: 257-278 - [p1]John Reuben, Nishil Talati, Nimrod Wald, Rotem Ben Hur, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
A Taxonomy and Evaluation Framework for Memristive Logic. Handbook of Memristor Networks 2019: 1065-1099 - [i4]Kunal Korgaonkar, Ronny Ronen, Anupam Chattopadhyay, Shahar Kvatinsky:
The Bitlet Model: Defining a Litmus Test for the Bitwise Processing-in-Memory Paradigm. CoRR abs/1910.10234 (2019) - [i3]Tzofnat Greenberg-Toledo, Ben Perach, Daniel Soudry, Shahar Kvatinsky:
MTJ-Based Hardware Synapse Design for Quantized Deep Neural Networks. CoRR abs/1912.12636 (2019) - 2018
- [j18]Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky:
DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 146-158 (2018) - [j17]Alexander Dozortsev, Israel Goldshtein, Shahar Kvatinsky:
Analysis of the row grounding technique in a memristor-based crossbar array. Int. J. Circuit Theory Appl. 46(1): 122-137 (2018) - [j16]Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Shahar Kvatinsky:
Not in Name Alone: A Memristive Memory Processing Unit for Real In-Memory Processing. IEEE Micro 38(5): 13-21 (2018) - [j15]Nicolás Wainstein, Shahar Kvatinsky:
TIME - Tunable Inductors Using MEmristors. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(5): 1505-1515 (2018) - [j14]Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Shahar Kvatinsky:
IMAGING: In-Memory AlGorithms for Image processiNG. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(12): 4258-4271 (2018) - [j13]Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky:
Breaking Through the Speed-Power-Accuracy Tradeoff in ADCs Using a Memristive Neuromorphic Architecture. IEEE Trans. Emerg. Top. Comput. Intell. 2(5): 396-409 (2018) - [c19]Nishil Talati, Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
Practical challenges in delivering the promises of real processing-in-memory machines. DATE 2018: 1628-1633 - [c18]Ameer Haj Ali, Rotem Ben Hur, Nimrod Wald, Shahar Kvatinsky:
Efficient Algorithms for In-Memory Fixed Point Multiplication Using MAGIC. ISCAS 2018: 1-5 - [c17]Loai Danial, Shahar Kvatinsky:
Real-Time Trainable Data Converters for General Purpose Applications. NANOARCH 2018: 34-36 - 2017
- [j12]Ardavan Pedram, Stephen Richardson, Mark Horowitz, Sameh Galal, Shahar Kvatinsky:
Dark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era. IEEE Des. Test 34(2): 39-50 (2017) - [c16]Hanna Abo Hanna, Loai Danial, Shahar Kvatinsky, Ramez Daniel:
Modeling biochemical reactions and gene networks with memristors. BioCAS 2017: 1-4 - [c15]Said Hamdioui, Shahar Kvatinsky, Gert Cauwenberghs, Lei Xie, Nimrod Wald, Siddharth Joshi, Hesham Mostafa Elsayed, Henk Corporaal, Koen Bertels:
Memristor for computing: Myth or reality? DATE 2017: 722-731 - [c14]Leonid Azriel, Shahar Kvatinsky:
Towards a memristive hardware secure hash function (MemHash). HOST 2017: 51-55 - [c13]Rotem Ben Hur, Nimrod Wald, Nishil Talati, Shahar Kvatinsky:
Simple magic: Synthesis and in-memory Mapping of logic execution for memristor-aided logic. ICCAD 2017: 225-232 - [c12]Nishil Talati, Zhiying Wang, Shahar Kvatinsky:
Rate-compatible and high-throughput architecture designs for encoding LDPC codes. ISCAS 2017: 1-4 - [c11]Nicolás Wainstein, Shahar Kvatinsky:
An RF memristor model and memristive single-pole double-throw switches. ISCAS 2017: 1-4 - [c10]John Reuben, Rotem Ben Hur, Nimrod Wald, Nishil Talati, Ameer Haj Ali, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
Memristive logic: A framework for evaluation and comparison. PATMOS 2017: 1-8 - 2016
- [j11]Amir Morad, Leonid Yavits, Shahar Kvatinsky, Ran Ginosar:
Resistive GP-SIMD Processing-In-Memory. ACM Trans. Archit. Code Optim. 12(4): 57:1-57:22 (2016) - [j10]Yuval Cassuto, Shahar Kvatinsky, Eitan Yaakobi:
Information-Theoretic Sneak-Path Mitigation in Memristor Crossbar Arrays. IEEE Trans. Inf. Theory 62(9): 4801-4813 (2016) - [c9]Eyal Rosenthal, Sergey Greshnikov, Daniel Soudry, Shahar Kvatinsky:
A fully analog memristor-based neural network with online gradient training. ISCAS 2016: 1394-1397 - [c8]Yuval Cassuto, Shahar Kvatinsky, Eitan Yaakobi:
Write sneak-path constraints avoiding disturbs in memristor crossbar arrays. ISIT 2016: 950-954 - [c7]Heonjae Ha, Ardavan Pedram, Stephen Richardson, Shahar Kvatinsky, Mark Horowitz:
Improving energy efficiency of DRAM by exploiting half page row access. MICRO 2016: 27:1-27:12 - [c6]Artem Vasilyev, Nikhil Bhagdikar, Ardavan Pedram, Stephen Richardson, Shahar Kvatinsky, Mark Horowitz:
Evaluating programmable architectures for imaging and vision applications. MICRO 2016: 52:1-52:13 - [c5]Rotem Ben Hur, Shahar Kvatinsky:
Memory Processing Unit for in-memory processing. NANOARCH 2016: 171-172 - [c4]Elad Amrani, Avishay Drori, Shahar Kvatinsky:
Logic design with unipolar memristors. VLSI-SoC 2016: 1-5 - [c3]Nimrod Wald, Elad Amrani, Avishay Drori, Shahar Kvatinsky:
Logic with Unipolar Memristors - Circuits and Design Methodology. VLSI-SoC (Selected Papers) 2016: 24-40 - [i2]Ardavan Pedram, Stephen Richardson, Sameh Galal, Shahar Kvatinsky, Mark Horowitz:
Dark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era. CoRR abs/1602.04183 (2016) - [i1]Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, Mark Horowitz:
A Systematic Approach to Blocking Convolutional Neural Networks. CoRR abs/1606.04209 (2016) - 2015
- [j9]Leonid Yavits, Shahar Kvatinsky, Amir Morad, Ran Ginosar:
Resistive Associative Processor. IEEE Comput. Archit. Lett. 14(2): 148-151 (2015) - [j8]Shahar Kvatinsky, Misbah Ramadan, Eby G. Friedman, Avinoam Kolodny:
VTEAM: A General Model for Voltage-Controlled Memristors. IEEE Trans. Circuits Syst. II Express Briefs 62-II(8): 786-790 (2015) - [j7]Daniel Soudry, Dotan Di Castro, Asaf Gal, Avinoam Kolodny, Shahar Kvatinsky:
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2408-2421 (2015) - [j6]Ravi Patel, Shahar Kvatinsky, Eby G. Friedman, Avinoam Kolodny:
Multistate Register Based on Resistive RAM. IEEE Trans. Very Large Scale Integr. Syst. 23(9): 1750-1759 (2015) - 2014
- [j5]Shahar Kvatinsky, Yuval H. Nacson, Yoav Etsion, Eby G. Friedman, Avinoam Kolodny, Uri C. Weiser:
Memristor-Based Multithreading. IEEE Comput. Archit. Lett. 13(1): 41-44 (2014) - [j4]Yifat Levy, Jehoshua Bruck, Yuval Cassuto, Eby G. Friedman, Avinoam Kolodny, Eitan Yaakobi, Shahar Kvatinsky:
Logic operations in memory using a memristive Akers array. Microelectron. J. 45(11): 1429-1437 (2014) - [j3]Shahar Kvatinsky, Dmitry Belousov, Slavik Liman, Guy Satat, Nimrod Wald, Eby G. Friedman, Avinoam Kolodny, Uri C. Weiser:
MAGIC - Memristor-Aided Logic. IEEE Trans. Circuits Syst. II Express Briefs 61-II(11): 895-899 (2014) - [j2]Shahar Kvatinsky, Guy Satat, Nimrod Wald, Eby G. Friedman, Avinoam Kolodny, Uri C. Weiser:
Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies. IEEE Trans. Very Large Scale Integr. Syst. 22(10): 2054-2066 (2014) - 2013
- [j1]Shahar Kvatinsky, Eby G. Friedman, Avinoam Kolodny, Uri C. Weiser:
TEAM: ThrEshold Adaptive Memristor Model. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(1): 211-221 (2013) - [c2]Yuval Cassuto, Shahar Kvatinsky, Eitan Yaakobi:
Sneak-path constraints in memristor crossbar arrays. ISIT 2013: 156-160 - 2011
- [c1]Shahar Kvatinsky, Avinoam Kolodny, Uri C. Weiser, Eby G. Friedman:
Memristor-based IMPLY logic design procedure. ICCD 2011: 142-147
Coauthor Index
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