Miro Hodak
Orcid: 0009-0008-5116-9961
According to our database1,
Miro Hodak
authored at least 18 papers
between 2018 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI.
CoRR, 2024
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024
2023
Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023
Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023
2022
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin.
Expert Syst. Appl., 2022
Proceedings of the Performance Evaluation and Benchmarking, 2022
Proceedings of the Performance Evaluation and Benchmarking, 2022
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging.
CoRR, 2021
Proceedings of the Performance Evaluation and Benchmarking, 2021
Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Proceedings of the Performance Evaluation and Benchmarking, 2020
2019
Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018
Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018