Md Hasibul Amin
Orcid: 0000-0002-9919-6626
According to our database1,
Md Hasibul Amin
authored at least 19 papers
between 2019 and 2025.
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Bibliography
2025
LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration.
CoRR, March, 2025
From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
A Decomposition-Based Memristive Crossbar Solver and FPGA-Accelerated Hardware Implementation.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models.
Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025
2024
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
2023
Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023
2022
Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022
CoRR, 2022
A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits.
CoRR, 2022
Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022
2020
Stress Detection from Different Environments for VIP Using EEG Signals and Machine Learning Algorithms.
Proceedings of the Intelligent Human Computer Interaction, 2020
2019
Ab initio Theoretical Investigation of Dopants for Ultrahigh Conductivities in Single Wall Carbon Nanotubes.
Proceedings of the TENCON 2019, 2019