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ORCIDUppugunduru Anil Kumar
Person information
- affiliation: BITS Pilani, Department of Electrical and Electronics Engineering, Hyderabad, India
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Journal Articles
- 2023
[j9]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)- [j8]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) - [j7]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) - [j6]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) - 2022
- [j5]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) - [j4]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) - [j3]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) - [j2]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
- [j1]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)
Conference and Workshop Papers
- 2024
- [c7]Rishi Agrawal, Narayanabhatla Savyasachi Abhijith, Uppugunduru Anil Kumar, Sreehari Veeramachaneni, Syed Ershad Ahmed:
Energy-Efficient Ternary Multiplier. AICAS 2024: 382-387 - 2023
- [c6]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 - [c5]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 - 2021
- [c4]Sahith Guturu, Anil Kumar Uppugunduru, Sridhar Thota, Syed Ershad Ahmed:
Power-Efficient MLOA for error resilient applications. iSES 2021: 79-83 - [c3]Uppugunduru Anil Kumar, Ratna Kumari Chintakunta, Sandeep Kumar, K. Jamal, Syed Ershad Ahmed:
Approximate Multiplier Architectures for Error Resilient Applications. iSES 2021: 89-92 - [c2]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
- [c1]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
Coauthor Index
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