Gopal Raut

Orcid: 0000-0002-1046-9457

According to our database1, Gopal Raut authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
In-Memory Computing with 6T SRAM for Multi-operator Logic Design.
Circuits Syst. Signal Process., January, 2024

QuantMAC: Enhancing Hardware Performance in DNNs With Quantize Enabled Multiply-Accumulate Unit.
IEEE Access, 2024

2023
Hybrid ADDer: A Viable Solution for Efficient Design of MAC in DNNs.
Circuits Syst. Signal Process., December, 2023

Designing a Performance-Centric MAC Unit with Pipelined Architecture for DNN Accelerators.
Circuits Syst. Signal Process., October, 2023

An Empirical Approach to Enhance Performance for Scalable CORDIC-Based Deep Neural Networks.
ACM Trans. Reconfigurable Technol. Syst., September, 2023

An Empirical Evaluation of Enhanced Performance Softmax Function in Deep Learning.
IEEE Access, 2023

Design and Analysis of Posit Quire Processing Engine for Neural Network Applications.
Proceedings of the 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems, 2023

A Configurable Activation Function for Variable Bit-Precision DNN Hardware Accelerators.
Proceedings of the Internet of Things. Advances in Information and Communication Technology, 2023

2022
An accurate and noninvasive skin cancer screening based on imaging technique.
Int. J. Imaging Syst. Technol., 2022

Data multiplexed and hardware reused architecture for deep neural network accelerator.
Neurocomputing, 2022

BitMAC: Bit-Serial Computation-Based Efficient Multiply-Accumulate Unit for DNN Accelerator.
Circuits Syst. Signal Process., 2022

SCRAMBLE: A Secure and Configurable, Memristor-Based Neuromorphic Hardware Leveraging 3D Architecture.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Loading Effect Free MOS-only Voltage Reference Ladder for ADC in RRAM-crossbar Array.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021
Correction to "RECON: Resource-Efficient CORDIC-Based Neuron Architecture".
IEEE Open J. Circuits Syst., 2021

RECON: Resource-Efficient CORDIC-Based Neuron Architecture.
IEEE Open J. Circuits Syst., 2021

VLSI implementation of transcendental function hyperbolic tangent for deep neural network accelerators.
Microprocess. Microsystems, 2021

2020
A 2.4-GS/s Power-Efficient, High-Resolution Reconfigurable Dynamic Comparator for ADC Architecture.
Circuits Syst. Signal Process., 2020

A CORDIC Based Configurable Activation Function for ANN Applications.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

2019
Efficient Low-Precision CORDIC Algorithm for Hardware Implementation of Artificial Neural Network.
Proceedings of the VLSI Design and Test - 23rd International Symposium, 2019

An Ultra Low Power AES Architecture for IoT.
Proceedings of the VLSI Design and Test - 23rd International Symposium, 2019

Compact Spiking Neural Network System with SiGe Based Cylindrical Tunneling Transistor for Low Power Applications.
Proceedings of the VLSI Design and Test - 23rd International Symposium, 2019


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