3 papers
cs.AR2026
Evaluating Architectural Trade-offs in CGRAs: The Impact of Scratchpad Memory and Heterogeneity on Compute-Intensive Kernels
María José Belda, Lara Orlandic, Fernando Castro +3
Modern edge computing applications, particularly high-throughput stream processing like Vision Transformers (ViTs), demand massive spatial parallelism and efficient data movement u…
cs.AR2026
CUTh-Solver: GPU-Accelerated Sparse Matrix Solver for High-Resolution Thermal Simulation of 3D ICs
Chenghan Wang, Zhen Zhuang, Shui Jiang +9
Coarse-grained thermal simulation tends to underestimate localized thermal issues, potentially missing critical hotspots. Accurate analysis, therefore, demands fine-grained informa…
cs.LG2025
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
Golnoosh Abdollahinejad, Saleh Baghersalimi, Denisa-Andreea Constantinescu +2
This work addresses the challenge of forecasting urban water dynamics by developing a multi-input, multi-output deep learning model that incorporates both endogenous variables (e.g…