3 papers
cs.SE2026
An MLIR-Based Compilation Framework for Control Flow Management on Coarse Grained Reconfigurable Arrays
Yuxuan Wang, Cristian Tirelli, Giovanni Ansaloni +2
Coarse Grained Reconfigurable Arrays (CGRAs) present both high flexibility and efficiency, making them well-suited for the acceleration of intensive workloads. Nevertheless, a key…
cs.AR2025
Mapping code on Coarse Grained Reconfigurable Arrays using a SAT solver
Cristian Tirelli, Laura Pozzi
Emerging low-powered architectures like Coarse-Grain Reconfigurable Arrays (CGRAs) are becoming more common. Often included as co-processors, they are used to accelerate compute-in…
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…