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cs.AR2026
Design of a GPU with Heterogeneous Cores for Graphics
Aurora Tomás, Juan Luis Aragón, Joan Manuel Parcerisa +1
Heterogeneous architectures can deliver higher performance and energy efficiency than symmetric counterparts by using multiple architectures tuned to different types of workloads.…
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.AR2024
ARAS: An Adaptive Low-Cost ReRAM-Based Accelerator for DNNs
Mohammad Sabri, Marc Riera, Antonio González
Processing Using Memory (PUM) accelerators have the potential to perform Deep Neural Network (DNN) inference by using arrays of memory cells as computation engines. Among various m…