Improving the Simulation of Biologically Accurate Neural Networks Using Data Flow HLS Transformations on Heterogeneous SoC-FPGA Platforms. - Kaleb Alfaro-Badilla; Andrés Arroyo-Romero; Carlos Salazar-García; Luis G. León-Vega; Javier Espinoza-González; Franklin Hernández-Castro; Alfonso Chacón-Rodríguez; Georgios Smaragdos; Christos Strydis (CARLA, 2019)

Optimizing Big Data Network Transfers in FPGA SoC Clusters: TECBrain Case Study. - Luis G. León-Vega; Kaleb Alfaro-Badilla; Alfonso Chacón-Rodríguez; Carlos Salazar-García (CARLA, 2019)

Generic Accuracy Configurable Matrix Multiplication-Addition Accelerator using HLS. - Luis G. León-Vega; Jorge Castro-Godínez (DSN-W, 2023)

Automatic Generation of Resource and Accuracy Configurable Processing Elements. - Luis G. León-Vega; Eduardo Salazar-Villalobos; Alejandro Rodriguez-Figueroa; Jorge Castro-Godínez (ACM Trans. Embed. Comput. Syst., 2023)

A User-Friendly Ecosystem for AI FPGA-Based Accelerators. - Luis G. León-Vega; Erick Obregon-Fonseca; Jorge Castro-Godínez (COINS, 2024)

A Comprehensive Analysis of Process Energy Consumption on Multi-Socket Systems with GPUs. - Luis G. León-Vega; Niccolò Tosato; Stefano Cozzini (CoRR, 2024)

EfiMon: A Process Analyser for Granular Power Consumption Prediction. - Luis G. León-Vega; Niccolò Tosato; Stefano Cozzini (CoRR, 2024)

A Quantitative Evaluation of Approximate Softmax Functions for Deep Neural Networks. - Fabricio Elizondo-Fernández; Luis G. León-Vega; Cristina Meinhardt; Jorge Castro-Godínez (CoRR, 2025)