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IEEE Journal on Emerging and Selected Topics in Circuits and Systems
In recent years, Compute-in-memory (CiM) architectures have emerged as a promising solution for deep neural network (NN) accelerators. Multiply-accumulate (MAC) is considered a de facto unit operation in NNs. By leveraging the inherent parallel processing capabilities of CiM, NNs that require numerous MAC operations can be executed more efficiently ...
Dhandeep Challagundla +2 more
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In recent years, Compute-in-memory (CiM) architectures have emerged as a promising solution for deep neural network (NN) accelerators. Multiply-accumulate (MAC) is considered a de facto unit operation in NNs. By leveraging the inherent parallel processing capabilities of CiM, NNs that require numerous MAC operations can be executed more efficiently ...
Dhandeep Challagundla +2 more
openaire +1 more source
A Novel Flash-Type Time-To-Digital Converters (TDC) Using GDI Technique
2022Jakka Yeshwanth Reddy +4 more
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A Digital to Time Converter Assisted TA-TDC with High Resolution for Low Power ADPLL in 22nm CMOS
2021Yumei Huang
exaly
A Novel Time-to-Amplitude Converter and a Low-Cost Wide Dynamic Range FPGA TDC for LiDAR Application
IEEE Transactions on Instrumentation and Measurement, 2022Azad Ozan Korkan, Heba Yuksel
exaly
Time-Interpolated Vernier Digital-to-Time Converter with Applications in Time-Mode SAR TDC
2023Fei Yuan, Yushi Zhou
exaly
Analysis and Design of an All-Digital ∆Σ TDC via Time-Mode Signal Processing
IEEE Transactions on Circuits and Systems II: Express Briefs, 2020Fei Yuan, Parth Parekh
exaly
2013 IEEE Nordic-Mediterranean Workshop on Time-to-Digital Converters (NoMe TDC)
2013openaire +1 more source