activity
20242026
most citedSAT-MapIt: A SAT-based Modulo Scheduling Mapper for Coarse Grain Reconfigurable Architectures

10 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2026

SoK: You Find What You Seek: Rethinking Oracles, Guidance, and Input Generation in Hardware Fuzzing

G Abarajithan, Zhenghua Ma, Cristian Tirelli +4

Hardware fuzzing is an active area in security verification research, yet its industrial adoption remains in its early stages. This SoK examines which lessons from software fuzzing…

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★ 10 cited

SAT-MapIt: A SAT-based Modulo Scheduling Mapper for Coarse Grain Reconfigurable Architectures

Cristian Tirelli, Lorenzo Ferretti, Laura Pozzi

Coarse-Grain Reconfigurable Arrays (CGRAs) are emerging low-power architectures aimed at accelerating compute-intensive application loops. The acceleration that a CGRA can ultimate…

cs.AR2025★ 2 cited

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.SE2025

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.AR2024

SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs

Cristian Tirelli, Juan Sapriza, Rubén Rodríguez Álvarez +6

Coarse-Grain Reconfigurable Arrays (CGRAs) represent emerging low-power architectures designed to accelerate Compute-Intensive Loops (CILs). The effectiveness of CGRAs in providing…