Uppugunduru Anil Kumar

According to our database, Uppugunduru Anil Kumar authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks.

Aditya Anirudh Jonnalagadda, Uppugunduru Anil Kumar, Rishi Thotli, Satvik Sardesai, Sreehari Veeramachaneni, Syed Ershad Ahmed

IEEE Access, 2024

Energy-Efficient Ternary Multiplier.

Rishi Agrawal, Narayanabhatla Savyasachi Abhijith, Uppugunduru Anil Kumar, Sreehari Veeramachaneni, Syed Ershad Ahmed

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

CAAM: Compressor-Based Adaptive Approximate Multiplier for Neural Network Applications.

Uppugunduru Anil Kumar, S. Vignesh Bharadwaj, Avinash Bhat Pattaje, Suresh Nambi, Syed Ershad Ahmed

IEEE Embed. Syst. Lett., September, 2023

Design methodology for highly accurate approximate multipliers for error resilient applications.

Sahith Guturu, Uppugunduru Anil Kumar, S. Vignesh Bharadwaj, Syed Ershad Ahmed

Comput. Electr. Eng., September, 2023

A General Methodology to Optimize Flagged Constant Addition.

Aroondhati Bhure, P. Smriti, Vinay Dhanote, Uppugunduru Anil Kumar, Syed Ershad Ahmed

J. Circuits Syst. Comput., January, 2023

Improved approximate multiplier architecture for image processing and neural network applications.

Pramod Alamuri, Uppugunduru Anil Kumar, Vallepu Vannuru, Syed Ershad Ahmed

Microprocess. Microsystems, 2023

Power Efficient Approximate Ternary Subtractor for Image Processing Applications.

Sangireddy Tharuni, Basani Harshavardhan Reddy, Bhukya Mamatha, Uppugunduru Anil Kumar, Syed Ershad Ahmed, Sreehari Veeramachaneni

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2023

Low-Power Approximate Multiplier Architecture for Error Resilient Applications.

Apurva Kumari, Ch. Vandana, Chowta Mallikharjuna Rao, Uppugunduru Anil Kumar, Syed Ershad Ahmed

Proceedings of the 9th International Symposium on Embedded Computing and System Design, 2023

Low Power Approximate Divider and Square Root Circuits for Error Resilient Applications.

Uppugunduru Anil Kumar, Viren Ramchandani, Syed Shakeel Hashmi, Sanjay Dubey, Syed Ershad Ahmed

Proceedings of the 9th International Symposium on Embedded Computing and System Design, 2023

Highly Accurate Approximate Ternary Multipliers for Error Resilient Applications.

Shalini Burri, Gowtham Sri Harsha Kudulla, Pavan Kumar Jogi, Anantha Sai Satwik Vysyaraju, Uppugunduru Anil Kumar, Syed Ershad Ahmed, Sreehari Veeramachaneni

Proceedings of the 9th International Symposium on Embedded Computing and System Design, 2023

Design of Energy Efficient Posit Multiplier.

Aditya Anirudh Jonnalagadda, Anil Kumar Uppugunduru, Sreehari Veeramachaneni, Syed Ershad Ahmed

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

Design and exploration of low-power SAD architectures using approximate compressors for Integer Motion Estimation.

Uppugunduru Anil Kumar, Sahith Guturu, Syed Ershad Ahmed

Microprocess. Microsystems, October, 2022

A High-Speed and Power-Efficient Approximate Adder for Image Processing Applications.

Uppugunduru Anil Kumar, G. Sahith, Sumit K. Chatterjee, Syed Ershad Ahmed

J. Circuits Syst. Comput., 2022

Low-Power Compressor-Based Approximate Multipliers With Error Correcting Module.

Uppugunduru Anil Kumar, Sumit K. Chatterjee, Syed Ershad Ahmed

IEEE Embed. Syst. Lett., 2022

Compressor based hybrid approximate multiplier architectures with efficient error correction logic.

Anil Kumar Uppugunduru, S. Vignesh Bharadwaj, Syed Ershad Ahmed

Comput. Electr. Eng., 2022

2021

DeBAM: Decoder-Based Approximate Multiplier for Low Power Applications.

Suresh Nambi, Uppugunduru Anil Kumar, Kavya Radhakrishnan, Mythreye Venkatesan, Syed Ershad Ahmed

IEEE Embed. Syst. Lett., 2021

Lower part OR based Approximate Multiplier for Error Resilient Applications.

Uppugunduru Anil Kumar, Goli Naga Sandesh, Dhoti Ojusteja, Syed Ershad Ahmed

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021

Approximate Multiplier Architectures for Error Resilient Applications.

Uppugunduru Anil Kumar, Ratna Kumari Chintakunta, Sandeep Kumar, K. Jamal, Syed Ershad Ahmed

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021

Power-Efficient MLOA for error resilient applications.

Sahith Guturu, Anil Kumar Uppugunduru, Sridhar Thota, Syed Ershad Ahmed

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021

2020

Evaluation of Multiplier-Less DCT Transform Using In-Exact Computing.

Uppugunduru Anil Kumar, Nishant Jain, Sumit K. Chatterjee, Syed Ershad Ahmed

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020