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cs.AR2025
Towards Efficient LUT-based PIM: A Scalable and Low-Power Approach for Modern Workloads
Bahareh Khabbazan, Marc Riera, Antonio González
Data movement in memory-intensive workloads, such as deep learning, incurs energy costs that are over three orders of magnitude higher than the cost of computation. Since these wor…
cs.AR2025
Hamun: An Approximate Computation Method to Prolong the Lifespan of ReRAM-Based Accelerators
Mohammad Sabri, Marc Riera, Antonio Gonzalez
ReRAM-based accelerators exhibit enormous potential to increase computational efficiency for DNN inference tasks, delivering significant performance and energy savings over traditi…