Artiklar med krav på offentlig åtkomst - Sujan Kumar GonugondlaLäs mer
Tillgängliga någonstans: 10
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
Krav: US Department of Defense
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
Krav: US National Science Foundation, US Department of Defense
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
Krav: US Department of Defense
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
Krav: US Department of Defense
Fundamental limits on the precision of in-memory architectures
SK Gonugondla, C Sakr, H Dbouk, NR Shanbhag
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
Krav: US Department of Defense
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
Krav: US Department of Defense
Fundamental limits on energy-delay-accuracy of in-memory architectures in inference applications
SK Gonugondla, C Sakr, H Dbouk, NR Shanbhag
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
Krav: US Department of Defense
SWIPE: Enhancing robustness of ReRAM crossbars for in-memory computing
SK Gonugondla, AD Patil, NR Shanbhag
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
Krav: US Department of Defense
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
Krav: US Department of Defense
IMPQ: Reduced Complexity Neural Networks Via Granular Precision Assignment
SK Gonugondla, NR Shanbhag
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Krav: US Department of Defense
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