collaborators

5 papers

cs.DC2026

Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping

Jose Maureira, Cristóbal A. Navarro, Hector Ferrada +1

Mapping parallel threads onto non-box-shaped domains is a known challenge in GPU computing; efficient mapping prevents performance penalties from unnecessary resource allocation. C…

cs.AI2026

Structural Segmentation of the Minimum Set Cover Problem: Exploiting Universe Decomposability for Metaheuristic Optimization

Isidora Hernández, Héctor Ferrada, Cristóbal A. Navarro

The Minimum Set Cover Problem (MSCP) is a classical NP-hard combinatorial optimization problem with numerous applications in science and engineering. Although a wide range of exact…

cs.CG2026

Convex Hull 3D Filtering with GPU Ray Tracing and Tensor Cores

Roberto Carrasco, Enzo Meneses, Hector Ferrada +2

In recent years, applications such as real-time simulations, autonomous systems, and video games increasingly demand the processing of complex geometric models under stringent time…

cs.DC2026

Ray Tracing Cores for General-Purpose Computing: A Literature Review

Enzo Meneses, Cristóbal A. Navarro, Héctor Ferrada +2

Recent research on ray tracing cores has explored repurposing these cores to solve non-graphical problems by reformulating them as geometric queries, leveraging the inherent parall…

cs.DC2026

Advancing RT Core-Accelerated Fixed-Radius Nearest Neighbor Search

Enzo Meneses, Hugo Bec, Cristóbal A. Navarro +5

In this work we introduce three ideas that can further improve particle FRNN physics simulations running on RT Cores; i) a real-time update/rebuild ratio optimizer for the bounding…