3 papers
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.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…
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…