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.AR2026
Exploiting pre-optimized kernels with polyhedral transformations for CGRA compilation
Yuxuan Wang, MarÃa José Belda, Fernando Castro +3
Modern computing workloads commonly involve matrix-matrix multiplication (mmul) as a core computing pattern. Coarse-Grained Reconfigurable Arrays (CGRAs) can flexibly and efficient…
cs.ET2025
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles
Corey Lammie, Yuxuan Wang, Flavio Ponzina +7
When arranged in a crossbar configuration, resistive memory devices can be used to execute Matrix-Vector Multiplications (MVMs), the most dominant operation of many Machine Learnin…