Uppugunduru Anil Kumar

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Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
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◀ ▶ joint publications with Syed Ershad Ahmed

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Publications

2025
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Sahith Guturu, Anil Kumar Uppugunduru, Apoorva Sharma, Syed Ershad Ahmed:
A Power-Efficient Gaussian Filter Architecture Using Adder Compressors for Edge Detection Application. Circuits Syst. Signal Process. 44(3): 1865-1886 (2025)
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Aditya Anirudh Jonnalagadda, Rishi Thotli, Sreehari Veeramachaneni, Uppugunduru Anil Kumar, Syed Ershad Ahmed:
Energy-Efficient Decoding and Encoding Hardware for Optimized Posit Arithmetic. IEEE Embed. Syst. Lett. 17(3): 131-134 (2025)
[j12]
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Veerabadra Chary Rasoju, Anil Kumar Uppugunduru, Abhay Shriram, Sreehari Veeramachaneni, Syed Ershad Ahmed:
Implementation of exact and approximate adder based divider for error resilient applications. Discov. Comput. 28(1): 257 (2025)
2024
[j11]
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Aditya Anirudh Jonnalagadda, Uppugunduru Anil Kumar, Rishi Thotli, Satvik Sardesai, Sreehari Veeramachaneni, Syed Ershad Ahmed:
ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks. IEEE Access 12: 31036-31046 (2024)
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Sahith Guturu, Uppugunduru Anil Kumar, Shruti Verma, Syed Ershad Ahmed:
HEAD: High-Speed Approximate HEterogeneous ADder for Error-Resilient Applications. J. Circuits Syst. Comput. 33(18): 2550007:1-2550007:19 (2024)
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Rishi Agrawal, Narayanabhatla Savyasachi Abhijith, Uppugunduru Anil Kumar, Sreehari Veeramachaneni, Syed Ershad Ahmed:
Energy-Efficient Ternary Multiplier. AICAS 2024: 382-387
[c10]
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Dhananjay Rao Thallikar Shyam, Uppugunduru Anil Kumar, Subham Prasad Dash, Syed Ershad Ahmed:
Energy Efficient Approximate Ternary Adder for Image Processing Applications. ISED 2024: 1-7
2023
[j9]
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Sahith Guturu, Uppugunduru Anil Kumar, S. Vignesh Bharadwaj, Syed Ershad Ahmed:
Design methodology for highly accurate approximate multipliers for error resilient applications. Comput. Electr. Eng. 110: 108798 (2023)
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Uppugunduru Anil Kumar, S. Vignesh Bharadwaj, Avinash Bhat Pattaje, Suresh Nambi, Syed Ershad Ahmed:
CAAM: Compressor-Based Adaptive Approximate Multiplier for Neural Network Applications. IEEE Embed. Syst. Lett. 15(3): 117-120 (2023)
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Aroondhati Bhure, P. Smriti, Vinay Dhanote, Uppugunduru Anil Kumar, Syed Ershad Ahmed:
A General Methodology to Optimize Flagged Constant Addition. J. Circuits Syst. Comput. 32(2): 2350027:1-2350027:16 (2023)
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Pramod Alamuri, Uppugunduru Anil Kumar, Vallepu Vannuru, Syed Ershad Ahmed:
Improved approximate multiplier architecture for image processing and neural network applications. Microprocess. Microsystems 101: 104909 (2023)
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Aditya Anirudh Jonnalagadda, Anil Kumar Uppugunduru, Sreehari Veeramachaneni, Syed Ershad Ahmed:
Design of Energy Efficient Posit Multiplier. ACM Great Lakes Symposium on VLSI 2023: 645-651
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Shalini Burri, Gowtham Sri Harsha Kudulla, Pavan Kumar Jogi, Anantha Sai Satwik Vysyaraju, Uppugunduru Anil Kumar, Syed Ershad Ahmed, Sreehari Veeramachaneni:
Highly Accurate Approximate Ternary Multipliers for Error Resilient Applications. ISED 2023: 1-6
[c7]
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Uppugunduru Anil Kumar, Viren Ramchandani, Syed Shakeel Hashmi, Sanjay Dubey, Syed Ershad Ahmed:
Low Power Approximate Divider and Square Root Circuits for Error Resilient Applications. ISED 2023: 1-6
[c6]
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Apurva Kumari, Ch. Vandana, Chowta Mallikharjuna Rao, Uppugunduru Anil Kumar, Syed Ershad Ahmed:
Low-Power Approximate Multiplier Architecture for Error Resilient Applications. ISED 2023: 1-5
[c5]
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Sangireddy Tharuni, Basani Harshavardhan Reddy, Bhukya Mamatha, Uppugunduru Anil Kumar, Syed Ershad Ahmed, Sreehari Veeramachaneni:
Power Efficient Approximate Ternary Subtractor for Image Processing Applications. iSES 2023: 127-130
2022
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Anil Kumar Uppugunduru, S. Vignesh Bharadwaj, Syed Ershad Ahmed:
Compressor based hybrid approximate multiplier architectures with efficient error correction logic. Comput. Electr. Eng. 104(Part): 108407 (2022)
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Uppugunduru Anil Kumar, Sumit K. Chatterjee, Syed Ershad Ahmed:
Low-Power Compressor-Based Approximate Multipliers With Error Correcting Module. IEEE Embed. Syst. Lett. 14(2): 59-62 (2022)
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Uppugunduru Anil Kumar, G. Sahith, Sumit K. Chatterjee, Syed Ershad Ahmed:
A High-Speed and Power-Efficient Approximate Adder for Image Processing Applications. J. Circuits Syst. Comput. 31(3): 2250049:1-2250049:17 (2022)
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Uppugunduru Anil Kumar, Sahith Guturu, Syed Ershad Ahmed:
Design and exploration of low-power SAD architectures using approximate compressors for Integer Motion Estimation. Microprocess. Microsystems 94: 104659 (2022)
2021
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Suresh Nambi, Uppugunduru Anil Kumar, Kavya Radhakrishnan, Mythreye Venkatesan, Syed Ershad Ahmed:
DeBAM: Decoder-Based Approximate Multiplier for Low Power Applications. IEEE Embed. Syst. Lett. 13(4): 174-177 (2021)
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Sahith Guturu, Anil Kumar Uppugunduru, Sridhar Thota, Syed Ershad Ahmed:
Power-Efficient MLOA for error resilient applications. iSES 2021: 79-83
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Uppugunduru Anil Kumar, Ratna Kumari Chintakunta, Sandeep Kumar, K. Jamal, Syed Ershad Ahmed:
Approximate Multiplier Architectures for Error Resilient Applications. iSES 2021: 89-92
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Uppugunduru Anil Kumar, Goli Naga Sandesh, Dhoti Ojusteja, Syed Ershad Ahmed:
Lower part OR based Approximate Multiplier for Error Resilient Applications. iSES 2021: 161-164
2020
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Uppugunduru Anil Kumar, Nishant Jain, Sumit K. Chatterjee, Syed Ershad Ahmed:
Evaluation of Multiplier-Less DCT Transform Using In-Exact Computing. MIND (2) 2020: 11-23

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