LIMA — Laboratorio de Investigación en Microelectrónica y Arquitectura de computadores
| Encargado | Prof. Ing. Erick Carvajal Barboza, PhD. |
|---|---|
| Tipo | Investigación |
| Lugar | Oficina | 511 IE |
| Página web | https://github.com/lima-ucr |
| Proyectos | C3167: Evaluación de técnicas de Machine Learning aplicadas a la automatización de circuitos integrados en herramientas de software libre |
Descripción
El principal objetivo del laboratorio es el estudio de los procesos de automatización de los flujos de diseño, validación y verificación de circuitos integrados, tanto a nivel de micro-arquitectura, como de diseño lógico y físico.
Actualmente trabajos proyectos donde se utilizan algoritmos de aprendizaje automático para acelerar o hacer más precisos cada uno de los pasos del flujo de diseño de circuitos integrados.
Personal
Ing. Erick Carvajal Barboza, PhD.
Coordinador
Ing. Roberto Rodríguez Rodríguez, PhD.
Colaborador
Publicaciones
Machine learning-based pre-routing timing prediction with reduced pessimism
Erick Carvajal Barboza, Nischal Shukla, Yiran Chen, Jiang Hu (2019)
ACM/IEEE Design Automation Conference (DAC)
FIST: A feature-importance sampling and tree-based method for automatic design flow parameter tuning
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza (2020)
IEEE Asia and South Pacific Design Automation Conference (ASP-DAC)
Automatic microprocessor performance bug detection
Erick Carvajal Barboza, Sara Jacob, Mahesh Ketkar, Michael Kishinevsky, Paul Gratz, Jiang Hu (2021)
IEEE International Symposium on High-Performance Computer Architecture (HPCA)
Deep Learning for Routability
Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Rongjian Liang, Erick Carvajal Barboza, Yiran Chen (2022)
Capítulo del Libro: "Machine Learning Applications in Electronic Design Automation"
Net-Based Machine Learning-Aided Approaches for Timing and Crosstalk Prediction
Rongjian Liang, Zhiyao Xie, Erick Carvajal Barboza, Jiang Hu (2022)
Capítulo del Libro: "Machine Learning Applications in Electronic Design Automation"
Aiding Microprocessor Performance Validation with Machine Learning
Erick Carvajal Barboza, Mahesh Ketkar, Paul Gratz, Jiang Hu (2024)
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
Improving Pre-Route Delay Estimations in Open-Source EDA Tools via Machine Learning
Ana Sánchez Villalobos, Alex Varela Quirós, Erick Carvajal Barboza (2024)
IEEE 42nd Central America and Panama Convention (CONCAPAN XLII)
Harnessing Design History and Machine Learning for Precise Delay Estimation in Open Source EDA
Alex Varela Quirós, Ana Sánchez Villalobos, Erick Carvajal Barboza (2024)
IEEE 42nd Central America and Panama Convention (CONCAPAN XLII)
Machine Learning for Distributed Denial of Service Attack Detection in Software-defined IoT
Gustavo Núñez Segura, Erick Carvajal Barboza (2024)
IEEE 42nd Central America and Panama Convention (CONCAPAN XLII)
Correlating Pre-Route and Signoff Delay Through Delta-Based Machine Learning Prediction
Alex Varela Quirós, Erick Carvajal Barboza (2025)
IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)
A Study on Machine Learning Models for Predicting Microarchitectural Performance
Melissa Rodríguez Jiménez, Erick Carvajal Barboza (2025)
IEEE Central America and Panama Student Conference (CONESCAPAN)