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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.DC2025
Parallelizing a modern GPU simulator
Rodrigo Huerta, Antonio González
Simulators are a primary tool in computer architecture research but are extremely computationally intensive. Simulating modern architectures with increased core counts and recent w…