3 papers
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…
astro-ph.IM2022
High-Performance Computing for SKA Transient Search: Use of FPGA based Accelerators -- a brief review
R. Aafreen, R. Abhishek, B. Ajithkumar +34
This paper presents the High-Performance computing efforts with FPGA for the accelerated pulsar/transient search for the SKA. Case studies are presented from within SKA and pathfin…