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Farhana Sharmin Snigdha
Farhana Sharmin Snigdha
Dirección de correo verificada de umn.edu
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Optimal design of JPEG hardware under the approximate computing paradigm
FS Snigdha, D Sengupta, J Hu, SS Sapatnekar
Proceedings of the 53rd annual design automation conference, 1-6, 2016
442016
SABER: Selection of approximate bits for the design of error tolerant circuits
D Sengupta, FS Snigdha, J Hu, SS Sapatnekar
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
302017
An analytical approach for error PMF characterization in approximate circuits
D Sengupta, FS Snigdha, J Hu, SS Sapatnekar
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
262018
A novel method to model ECG beats using Gaussian functions
MS Billah, TB Mahmud, FS Snigdha, MA Arafat
2011 4th International Conference on Biomedical Engineering and Informatics …, 2011
212011
NeuPart: Using analytical models to drive energy-efficient partitioning of CNN computations on cloud-connected mobile clients
SD Manasi, FS Snigdha, SS Sapatnekar
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (8 …, 2020
152020
SeFAct: Selective feature activation and early classification for CNNs
FS Snigdha, I Ahmed, SD Manasi, MG Mankalale, J Hu, SS Sapatnekar
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
72019
Special session: a quantifiable approach to approximate computing
C Li, D Sengupta, FS Snigdha, W Xu, J Hu, SS Sapatnekar
2017 International Conference on Compilers, Architectures and Synthesis For …, 2017
62017
Analytical modeling of the SOI four-gate transistor using conformal mapping
FS Snigdha, MH Bappy, N Sultana, SR Shuvra, TT Chowdhury, ...
2012 7th International Conference on Electrical and Computer Engineering …, 2012
32012
Dynamic approximation of JPEG hardware
FS Snigdha, D Sengupta, J Hu, SS Sapatnekar
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
22018
SeFAct2: Selective feature activation for energy-efficient CNNs using optimized thresholds
FS Snigdha, SD Manasi, J Hu, SS Sapatnekar
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
12020
Low Power Approximate Hardware Design for Multimedia and Neural Network Applications
FS Snigdha
University of Minnesota, 2019
2019
A quantifiable approach to approximate computing: special session
C Li, D Sengupta, FS Snigdha, W Xu, J Hu, SS Sapatnekar
Proceedings of the 2017 International Conference on Compilers, Architectures …, 2017
2017
Filtered Audio Clips from Approximate FIR Filters Designed Using the SABER Algorithm
D Sengupta, F Snigdha, J Hu, SS Sapatnekar
2017
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Artículos 1–13