6 papers
Evaluating Architectural Trade-offs in CGRAs: The Impact of Scratchpad Memory and Heterogeneity on Compute-Intensive Kernels
MarÃa 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…
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…
Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
Mattia Consani, Denisa-Andreea Constantinescu, Ã se HÃ¥tveit +4
Global insect population declines necessitate scalable, continuous monitoring systems, yet existing vision-based solutions remain constrained by high hardware costs, energy demands…
GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers
Denisa-Andreea Constantinescu, David Atienza
At global scale, data-center electricity demand is growing faster than the grids that supply it, while system operators increasingly require large flexible loads that can adjust po…
astroCAMP: A Community Benchmark and Co-Design Framework for Sustainable SKA-Scale Radio Imaging
Denisa-Andreea Constantinescu, Rubén RodrÃguez Ãlvarez, Jacques Morin +7
The Square Kilometre Array (SKA) will operate one of the world's largest continuous scientific data systems, sustaining petascale imaging under strict power envelopes. Current radi…
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…