Miro Hodak

Orcid: 0009-0008-5116-9961

According to our database1, Miro Hodak authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
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2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI.
CoRR, 2024

Preliminary Results of the MLPerf BERT Inference Benchmark on AMD Instinct GPUs.
Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

2023
Benchmarking Large Language Models: Opportunities and Challenges.
Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023

Benchmarking Generative AI Performance Requires a Holistic Approach.
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

More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI.
Proceedings of the Performance Evaluation and Benchmarking, 2022

Benchmarking Considerations for Trustworthy and Responsible AI (Panel).
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

Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results.
Proceedings of the Performance Evaluation and Benchmarking, 2021

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters.
Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021

Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Benchmarking AI Inference: Where we are in 2020.
Proceedings of the Performance Evaluation and Benchmarking, 2020

2019
Challenges in Distributed MLPerf.
Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

Towards Power Efficiency in Deep Learning on Data Center Hardware.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment.
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


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