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eess.SP2025
Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators
José Cubero-Cascante, Rebecca Pelke, Noah Flohr +3
The increasing computational demand of Convolutional Neural Networks (CNNs) necessitates energy-efficient acceleration strategies. Compute-in-Memory (CIM) architectures based on Re…
eess.SP2024
A Calibratable Model for Fast Energy Estimation of MVM Operations on RRAM Crossbars
José Cubero-Cascante, Arunkumar Vaidyanathan, Rebecca Pelke +3
The surge in AI usage demands innovative power reduction strategies. Novel Compute-in-Memory (CIM) architectures, leveraging advanced memory technologies, hold the potential for si…