2 papers
cs.AR2025
Monomorphism-based CGRA Mapping via Space and Time Decoupling
Cristian Tirelli, Rodrigo Otoni, Laura Pozzi
Coarse-Grain Reconfigurable Arrays (CGRAs) provide flexibility and energy efficiency in accelerating compute-intensive loops. Existing compilation techniques often struggle with sc…
cs.LG2025
An Improved Template for Approximate Computing
Morteza Rezaalipour, Francesco Costa, Marco Biasion +3
Deploying neural networks on edge devices entails a careful balance between the energy required for inference and the accuracy of the resulting classification. One technique for na…