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GOPAL RAUT
GOPAL RAUT
C-DAC Bangalore, India
Verified email at iiti.ac.in - Homepage
Title
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Cited by
Year
A CORDIC based configurable activation function for ANN applications
G Raut, S Rai, SK Vishvakarma, A Kumar
2020 IEEE computer society annual symposium on VLSI (ISVLSI), 78-83, 2020
262020
An accurate and noninvasive skin cancer screening based on imaging technique
G Rajput, S Agrawal, G Raut, SK Vishvakarma
International Journal of Imaging Systems and Technology 32 (1), 354-368, 2022
242022
RECON: resource-efficient CORDIC-based neuron architecture
G Raut, S Rai, SK Vishvakarma, A Kumar
IEEE Open Journal of Circuits and Systems 2, 170-181, 2021
232021
VLSI implementation of transcendental function hyperbolic tangent for deep neural network accelerators
G Rajput, G Raut, M Chandra, SK Vishvakarma
Microprocessors and Microsystems 84, 104270, 2021
182021
Data multiplexed and hardware reused architecture for deep neural network accelerator
G Raut, A Biasizzo, N Dhakad, N Gupta, G Papa, SK Vishvakarma
Neurocomputing 486, 147-159, 2022
122022
Efficient low-precision cordic algorithm for hardware implementation of artificial neural network
G Raut, V Bhartiy, G Rajput, S Khan, A Beohar, SK Vishvakarma
VLSI Design and Test: 23rd International Symposium, VDAT 2019, Indore, India …, 2019
92019
A 2.4-GS/s power-efficient, high-resolution reconfigurable dynamic comparator for ADC architecture
G Raut, AP Shah, V Sharma, G Rajput, SK Vishvakarma
Circuits, Systems, and Signal Processing 39 (9), 4681-4694, 2020
82020
Soft error hardened voltage bootstrapped Schmitt trigger design for reliable circuits
N Gupta, AP Shah, RS Kumar, G Raut, NS Dhakad, SK Vishvakarma
Microelectronics Reliability 117, 114013, 2021
62021
BitMAC: Bit-Serial Computation-Based Efficient Multiply-Accumulate Unit for DNN Accelerator
H Chhajed, G Raut, N Dhakad, S Vishwakarma, SK Vishvakarma
Circuits, Systems, and Signal Processing, 1-16, 2022
52022
An empirical approach to enhance performance for scalable cordic-based deep neural networks
G Raut, S Karkun, SK Vishvakarma
ACM Transactions on Reconfigurable Technology and Systems 16 (3), 1-32, 2023
22023
An empirical evaluation of enhanced performance softmax function in deep learning
S Mehra, G Raut, RD Purkayastha, SK Vishvakarma, A Biasizzo
IEEE Access 11, 34912-34924, 2023
22023
An ultra low power AES architecture for IoT
S Khan, N Gupta, G Raut, G Rajput, JG Pandey, SK Vishvakarma
International Symposium on VLSI Design and Test, 334-344, 2019
22019
Compact spiking neural network system with SiGe based cylindrical tunneling transistor for low power applications
A Beohar, G Raut, G Rajput, A Vishwakarma, AP Shah, BS Renewal, ...
VLSI Design and Test: 23rd International Symposium, VDAT 2019, Indore, India …, 2019
22019
In-Memory Computing with 6T SRAM for Multi-operator Logic Design
NS Dhakad, E Chittora, G Raut, V Sharma, SK Vishvakarma
Circuits, Systems, and Signal Processing 43 (1), 646-660, 2024
12024
Hybrid ADDer: A Viable Solution for Efficient Design of MAC in DNNs
V Trivedi, K Lalwani, G Raut, A Khomane, N Ashar, SK Vishvakarma
Circuits, Systems, and Signal Processing 42 (12), 7596-7614, 2023
12023
Design and analysis of Posit Quire processing engine for neural network applications
PJ Edavoor, A Raveendran, D Selvakumar, V Desalphine, G Raut
2023 36th International Conference on VLSI Design and 2023 22nd …, 2023
12023
Design and Analysis of Cyl GAA-TFET-Based Cross-Coupled Voltage Doubler Circuit
A Beohar, AP Shah, N Yadav, G Raut, SK Vishvakarma
Microelectronics, Circuits and Systems: Select Proceedings of 7th …, 2021
12021
QuantMAC: Enhancing Hardware Performance in DNNs With Quantize Enabled Multiply-Accumulate Unit
N Ashar, G Raut, V Trivedi, SK Vishvakarma, A Kumar
IEEE Access 12, 43600-43614, 2024
2024
A Configurable Activation Function for Variable Bit-Precision DNN Hardware Accelerators
S Vishwakarma, G Raut, NS Dhakad, SK Vishvakarma, D Ghai
IFIP International Internet of Things Conference, 433-441, 2023
2023
Designing a Performance-Centric MAC Unit with Pipelined Architecture for DNN Accelerators
G Raut, J Mukala, V Sharma, SK Vishvakarma
Circuits, Systems, and Signal Processing 42 (10), 6089-6115, 2023
2023
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