L. Hemanth Krishna

Employment

• Indian Institute of Technology Mandi Project Associate
  2022 - 2023

Education

• Jawaharlal Nehru Technological University, Kakinada B.Tech
  2013 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Efficient Approximate Ternary Multipliers for Emerging Nanodevices
  IEEE Transactions on Nanotechnology 2026 DOI: 10.1109/TNANO.2025.3648734
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• Low Complexity Three’s Complement Parallel Multiplier Using Special Operators of Ternary Logic
  IEEE Transactions on Circuits and Systems II: Express Briefs 2025 DOI: 10.1109/TCSII.2025.3615737
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• Energy Efficient Exact and Approximate Systolic Array Architecture for Matrix Multiplication
  Arxiv 2025 DOI: 10.48550/arXiv.2509.00778
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• High-Performance Gemmini-Based Matrix Multiplication Accelerator for Deep Learning Workloads
  IEEE Transactions on Very Large Scale Integration VLSI Systems 2025 DOI: 10.1109/TVLSI.2025.3605207
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• Low Power Approximate Multiplier Architecture for Deep Neural Networks
  Arxiv 2025 DOI: 10.48550/arXiv.2509.00764
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• Optimizing Multipliers: An Energy-Efficient Design Using a Novel 3:2 Compressor
  Proceedings of the IEEE International Conference on VLSI Design 2025 DOI: 10.1109/VLSID64188.2025.00035
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• Energy-Efficient Approximate Multiplier Design With Lesser Error Rate Using the Probability-Based Approximate 4:2 Compressor
  IEEE Embedded Systems Letters 2024 DOI: 10.1109/les.2023.3280199
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• Approximate Ternary Matrix Multiplication for Image Processing and Neural Networks
  Proceedings of IEEE Computer Society Annual Symposium on VLSI Isvlsi 2024 DOI: 10.1109/ISVLSI61997.2024.00060
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• Energy Efficient Accurate and Approximate Modified Adders for Ternary Multipliers
  Proceedings IEEE International Symposium on Circuits and Systems 2024 DOI: 10.1109/ISCAS58744.2024.10558406
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• High-Speed Serial and Semi-Parallel IMPLY-based Approximate Adders through Memristors for In-Memory Computing
  Proceedings IEEE International Symposium on Circuits and Systems 2024 DOI: 10.1109/ISCAS58744.2024.10558550
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