Sujan Kumar Gonugondla
Title
Cited by
Cited by
Year
A 42pJ/decision 3.12 TOPS/W robust in-memory machine learning classifier with on-chip training
SK Gonugondla, M Kang, N Shanbhag
2018 IEEE International Solid-State Circuits Conference-(ISSCC), 490-492, 2018
752018
A multi-functional in-memory inference processor using a standard 6T SRAM array
M Kang, SK Gonugondla, A Patil, NR Shanbhag
IEEE Journal of Solid-State Circuits 53 (2), 642-655, 2018
652018
Hand talk-implementation of a gesture recognizing glove
C Preetham, G Ramakrishnan, S Kumar, A Tamse, N Krishnapura
2013 Texas Instruments India Educators' Conference, 328-331, 2013
402013
An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks
M Kang, SK Gonugondla, MS Keel, NR Shanbhag
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
332015
A variation-tolerant in-memory machine learning classifier via on-chip training
SK Gonugondla, M Kang, NR Shanbhag
IEEE Journal of Solid-State Circuits 53 (11), 3163-3173, 2018
302018
PROMISE: An end-to-end design of a programmable mixed-signal accelerator for machine-learning algorithms
P Srivastava, M Kang, SK Gonugondla, S Lim, J Choi, V Adve, NS Kim, ...
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
272018
A 481pJ/decision 3.4 M decision/s multifunctional deep in-memory inference processor using standard 6T SRAM array
M Kang, S Gonugondla, A Patil, N Shanbhag
arXiv preprint arXiv:1610.07501, 2016
252016
An in-memory VLSI architecture for convolutional neural networks
M Kang, S Lim, S Gonugondla, NR Shanbhag
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (3 …, 2018
242018
A 19.4 nJ/decision 364K decisions/s in-memory random forest classifier in 6T SRAM array
M Kang, SK Gonugondla, NR Shanbhag
ESSCIRC 2017-43rd IEEE European Solid State Circuits Conference, 263-266, 2017
242017
A 19.4-nJ/decision, 364-K decisions/s, in-memory random forest multi-class inference accelerator
M Kang, SK Gonugondla, S Lim, NR Shanbhag
IEEE Journal of Solid-State Circuits 53 (7), 2126-2135, 2018
152018
GDOT: A graphene-based nanofunction for dot-product computation
NC Wang, SK Gonugondla, I Nahlus, NR Shanbhag, E Pop
2016 IEEE Symposium on VLSI Technology, 1-2, 2016
112016
An MRAM-based deep in-memory architecture for deep neural networks
AD Patil, H Hua, S Gonugondla, M Kang, NR Shanbhag
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
92019
Perfect error compensation via algorithmic error cancellation
SK Gonugondla, B Shim, NR Shanbhag
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
72016
Energy-efficient deep in-memory architecture for NAND flash memories
SK Gonugondla, M Kang, Y Kim, M Helm, S Eilert, N Shanbhag
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
52018
KeyRAM: A 0.34 uJ/decision 18 k decisions/s Recurrent Attention In-memory Processor for Keyword Spotting
H Dbouk, SK Gonugondla, C Sakr, NR Shanbhag
2020 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2020
2020
DIMA Prototype Integrated Circuits
M Kang, S Gonugondla, NR Shanbhag
Deep In-memory Architectures for Machine Learning, 49-79, 2020
2020
PROMISE: A DIMA-Based Accelerator
M Kang, S Gonugondla, NR Shanbhag
Deep In-memory Architectures for Machine Learning, 139-160, 2020
2020
A Variation-Tolerant DIMA via On-Chip Training
M Kang, S Gonugondla, NR Shanbhag
Deep In-memory Architectures for Machine Learning, 81-100, 2020
2020
Deep In-memory Architectures for Machine Learning
M Kang, S Gonugondla, NR Shanbhag
Springer, 2020
2020
Mapping Inference Algorithms to DIMA
M Kang, S Gonugondla, NR Shanbhag
Deep In-memory Architectures for Machine Learning, 101-137, 2020
2020
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Articles 1–20