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<![CDATA[Ph.D. Proposal Oral Exam - Narasimha Vasishta Kidambi]]>
Title: Energy-Efficient Mixed-Signal CIM Architectures for Solving Integer-Constrained Least Squares Problems: Hardware Realization and Next-Generation Analog CIM DesignCommittee:
Dr. Mukhopadhyay, Advisor
Dr. Datta, Chair
Dr. Yu
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The objective of the proposed research is to develop energy-efficient mixed-signal compute-in-memory (CIM) architectures for solving integer-constrained least squares (ICLS) problems. The work demonstrates a 65 nm hardware implementation using 8T-SRAM and a stochastic Hopfield Neural Network solver. It further introduces a next-generation analog CIM design with improved DAC, accumulation, and ADC circuits to enhance computational accuracy and energy efficiency.]]>
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https://gatech.zoom.us/j/99850521301
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