◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Héctor Ferrada

4 papers hereh-index 7188 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.AI1
  • cs.CG1

identity via Semantic Scholar / OpenAlex

collaborators

4 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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.