Hiago Rocha

Orcid: 0000-0002-0827-0131

According to our database1, Hiago Rocha authored at least 14 papers between 2020 and 2023.

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Bibliography

2023
Using evolutionary metaheuristics to solve the mapping and routing problem in networks on chip.
Des. Autom. Embed. Syst., June, 2023

Smart resource allocation of concurrent execution of parallel applications.
Concurr. Comput. Pract. Exp., 2023

Improving the efficiency of graph algorithm executions on high-performance computing.
Concurr. Comput. Pract. Exp., 2023

Optimizing Single-Source Graph Execution on NUMA Machines.
Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering, 2023

Searching for the Ideal Number of Threads on Asymmetric Multiprocessors.
Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering, 2023

Automatic CPU-GPU Allocation for Graph Execution.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

2022
Smoothing on Dynamic Concurrency Throttling.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Using machine learning to optimize graph execution on NUMA machines.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Boosting Graph Analytics by Tuning Threads and Data Affinity on NUMA Systems.
Proceedings of the 29th Euromicro International Conference on Parallel, 2021

2020
A Routing based Genetic Algorithm for Task Mapping on MPSoC.
Proceedings of the X Brazilian Symposium on Computing Systems Engineering, 2020

Firefly: An Open-source Rocket-based Intermittent Framework.
Proceedings of the 33rd Symposium on Integrated Circuits and Systems Design, 2020

A Reliability-Oriented Machine Learning Strategy for Heterogeneous Multicore Application Mapping.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Effective Exploration of Thread Throttling and Thread/Page Mapping on NUMA Systems.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Machine Learning Approach for Reliability-Aware Application Mapping for Heterogeneous Multicores.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020


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