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Ravi teja Lakkireddy
Ravi teja Lakkireddy
Masters student of Electrical Engineering, University of southern california
Zweryfikowany adres z usc.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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A processing-in-pixel-in-memory paradigm for resource-constrained tinyml applications
G Datta, S Kundu, Z Yin, RT Lakkireddy, J Mathai, AP Jacob, PA Beerel, ...
Scientific Reports 12 (1), 14396, 2022
302022
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking
G Datta, S Kundu, Z Yin, J Mathai, Z Liu, Z Wang, M Tian, S Lu, ...
2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration …, 2022
132022
Modeling the Energy Efficiency of GEMM using Optical Random Access Memory
B Zhang, A Jaiswal, C Mathew, RT Lakkireddy, AP Jacob, S Wijeratne, ...
2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022
2022
Fully Differential Amplifier for Switched Capacitor MDAC stage with cross coupled pair transistors for high gain of 110 dB and a data rate of 10 GHz
D Banerjee
University of Southern California, 2021
2021
F-RAM: SIMULTANEOUS COMPUTING 512 BIT SRAM
D Banerjee, R teja Lakkireddy
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