Projects
High-Performance and Energy-Efficient Task Scheduler for Heterogeneous Architectures
Research funding: CNPq, Brazil.
Research Grant for High Academic Productivity (Level 2).
Principal investigator: Henrique C. Freitas (PUC Minas).
2023 – 2026
High-Performance Mathematical and Machine Learning Algorithms for Forecasting Systems
Research funding: Revex, Brazil.
Principal investigators: Henrique C. Freitas (PUC Minas) and Dorirley Rodrigo Alves (Revex).
2019 – 2021
Design of Reconfigurable Hardware to Accelerate Deep Learning Algorithms
Research funding: Intel HARP (Hardware Accelerator Research Program), USA.
Principal investigator: Henrique C. Freitas (PUC Minas).
2016 – 2021
Parallel Applications for Big Data on Unconventional Manycore Architectures: Scalability, Performance and Energy
Research funding: FAPEMIG, Brazil.
Principal investigator: Henrique C. Freitas (PUC Minas).
2017 – 2019
Energy Efficiency and High Performance of Parallel Applications and Unconventional Many-Core Architectures
Research funding: CNPq, Brazil.
Research Grant for High Academic Productivity (Level 2).
Principal investigator: Henrique C. Freitas (PUC Minas).
2017 – 2020
Many-Core Processor Architectures: Performance vs. Energy
Research funding: CNPq, Brazil (Postdoctoral fellowship).
Institution: Université Grenoble Alpes, France.
Supervisor: Jean-François Méhaut
Visiting Researcher: Henrique C. Freitas (PUC Minas).
2015 – 2016
Design of a Network-on-Chip Architecture to Support High-Traffic Access to Shared Cache Memory
Research funding: CNPq, Brazil.
Principal investigator: Henrique C. Freitas (PUC Minas).
2015 – 2017
Workload Characterization for Wireless Networks-on-Chip
Research funding: CNPq, Brazil.
Principal investigator: Henrique C. Freitas (PUC Minas).
2010 – 2012.
Exploring Multi-Core Processor Architectures Through the Integration of Simulation Systems and GPUs Targeting Heterogeneous and Distributed Workloads
Research funding: FAPEMIG, Brazil.
Principal investigator: Henrique C. Freitas (PUC Minas).
2010 – 2013.