Kaushik Roy

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Anand RaghunathanSilicon Valley Chair Professor of Electrical and Computer Engineering, Purdue UniversityPatvirtintas el. paštas purdue.edu
Saibal MukhopadhyayProfessor of Electrical Engineering, Georgia Institute of TechnologyPatvirtintas el. paštas ece.gatech.edu
Priyadarshini (Priya) PandaAssistant Professor, Electrical Engineering, Yale UniversityPatvirtintas el. paštas yale.edu
Abhronil SenguptaMonkowski Career Development Associate Professor of EECS, Penn State UniversityPatvirtintas el. paštas psu.edu
Swarup BhuniaUniversity of FloridaPatvirtintas el. paštas ece.ufl.edu
Akhilesh JaiswalAssistant Professor, University of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Xuanyao FongNational University of SingaporePatvirtintas el. paštas nus.edu.sg
Bipul PaulGlobalfoundriesPatvirtintas el. paštas globalfoundries.com
Charles AugustineNVIDIA, Intel, Georgia Tech, Purdue, NXP, Philips, Texas InstrumentsPatvirtintas el. paštas nvidia.com
Sumeet GuptaSchool of Electrical and Computer Engineering, Purdue UniversityPatvirtintas el. paštas purdue.edu
Gopalakrishnan SrinivasanAssistant Professor at IIT MadrasPatvirtintas el. paštas cse.iitm.ac.in
Jaydeep KulkarniUT Austin; imec; Intel; Purdue; IIScPatvirtintas el. paštas austin.utexas.edu
Swagath VenkataramaniPrincipal Research Staff Member, IBM T.J. Watson Research Center / Purdue Univ.Patvirtintas el. paštas ibm.com
Sang Phill ParkAmazon Web ServicesPatvirtintas el. paštas amazon.com
Kunhyuk KangSeoul National University, Purdue University, Intel Corporation, Qualcomm Inc., Samsung ElectronicsPatvirtintas el. paštas qti.qualcomm.com
Aditya BansalKineticPatvirtintas el. paštas wearkinetic.com
Georgios PanagopoulosAnalog, RF & mmWave Modeling Line ManagerPatvirtintas el. paštas mail.ntua.gr
Jae-Joon KimProfessor, Seoul National UniversityPatvirtintas el. paštas snu.ac.kr
Sri Harsha ChodayIntel LabsPatvirtintas el. paštas intel.com
Vivek DeIntel Fellow, Intel CorporationPatvirtintas el. paštas intel.com

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Kaushik Roy

Professor of Electrical and Computer Engineering, Purdue University

Patvirtintas el. paštas purdue.edu - Pagrindinis puslapis

Neuromorphic computing Machine Learning ML hardware Neuro-mimetic devices Energy-efficient computing


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits K Roy, S Mukhopadhyay, H Mahmoodi-Meimand Proceedings of the IEEE 91 (2), 305-327, 2003	3202	2003
Towards spike-based machine intelligence with neuromorphic computing K Roy, A Jaiswal, P Panda Nature 575 (7784), 607-617, 2019	1810	2019
Medium-scale carbon nanotube thin-film integrated circuits on flexible plastic substrates Q Cao, H Kim, N Pimparkar, JP Kulkarni, C Wang, M Shim, K Roy, ... Nature 454 (7203), 495-500, 2008	1401	2008
Going deeper in spiking neural networks: VGG and residual architectures A Sengupta, Y Ye, R Wang, C Liu, K Roy Frontiers in neuroscience 13, 95, 2019	1253	2019
Gated-V_dd a circuit technique to reduce leakage in deep-submicron cache memories M Powell, SH Yang, B Falsafi, K Roy, TN Vijaykumar Proceedings of the 2000 international symposium on Low power electronics and …, 2000	1139	2000
Low-power CMOS VLSI circuit design K Roy, SC Prasad John Wiley & Sons, 2009	989	2009
Low-power digital signal processing using approximate adders V Gupta, D Mohapatra, A Raghunathan, K Roy IEEE transactions on computer-aided design of integrated circuits and …, 2012	973	2012
Analysis and characterization of inherent application resilience for approximate computing VK Chippa, ST Chakradhar, K Roy, A Raghunathan Proceedings of the 50th Annual Design Automation Conference, 1-9, 2013	679	2013
A 32 kb 10T sub-threshold SRAM array with bit-interleaving and differential read scheme in 90 nm CMOS IJ Chang, JJ Kim, SP Park, K Roy IEEE Journal of Solid-State Circuits 44 (2), 650-658, 2009	665	2009
IMPACT: IMPrecise adders for low-power approximate computing V Gupta, D Mohapatra, SP Park, A Raghunathan, K Roy IEEE/ACM International Symposium on Low Power Electronics and Design, 409-414, 2011	615	2011
A 160 mV robust Schmitt trigger based subthreshold SRAM JP Kulkarni, K Kim, K Roy IEEE Journal of Solid-State Circuits 42 (10), 2303-2313, 2007	613	2007
Modeling of failure probability and statistical design of SRAM array for yield enhancement in nanoscaled CMOS S Mukhopadhyay, H Mahmoodi, K Roy IEEE transactions on computer-aided design of integrated circuits and …, 2005	608	2005
Enabling spike-based backpropagation for training deep neural network architectures C Lee, SS Sarwar, P Panda, G Srinivasan, K Roy Frontiers in neuroscience 14, 497482, 2020	527	2020
Estimation of standby leakage power in CMOS circuits considering accurate modeling of transistor stacks Z Chen, M Johnson, L Wei, K Roy Proceedings of the 1998 international symposium on Low power electronics and …, 1998	516	1998
PUMA: A programmable ultra-efficient memristor-based accelerator for machine learning inference A Ankit, IE Hajj, SR Chalamalasetti, G Ndu, M Foltin, RS Williams, ... Proceedings of the twenty-fourth international conference on architectural …, 2019	506	2019
Roadmap of spin–orbit torques Q Shao, P Li, L Liu, H Yang, S Fukami, A Razavi, H Wu, K Wang, ... IEEE transactions on magnetics 57 (7), 1-39, 2021	441	2021
SALSA: Systematic logic synthesis of approximate circuits S Venkataramani, A Sabne, V Kozhikkottu, K Roy, A Raghunathan Proceedings of the 49th Annual Design Automation Conference, 796-801, 2012	414	2012
Design and optimization of dual-threshold circuits for low-voltage low-power applications L Wei, Z Chen, K Roy, MC Johnson, Y Ye, VK De IEEE Transactions on Very Large Scale Integration (VLSI) Systems 7 (1), 16-24, 1999	412	1999
Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural network B Han, G Srinivasan, K Roy Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	403	2020
Computing in memory with spin-transfer torque magnetic RAM S Jain, A Ranjan, K Roy, A Raghunathan IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (3), 470-483, 2017	401	2017

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