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Miro Hodak
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2020 – today
- 2024
- [c13]Zixian Wang
, Khai Vu
, Miro Hodak
, Aarush Mehrotra
, Francisco Gutierrez
, Kyle Smith
, Gloria Seo
, Austin Garcia
, Bryan Chin
, Marty Kandes
, Mary P. Thomas
:
Preliminary Results of the MLPerf BERT Inference Benchmark on AMD Instinct GPUs. PEARC 2024: 59:1-59:5 - 2022
- [j1]Gusseppe Bravo Rocca
, Peini Liu
, Jordi Guitart
, Ajay Dholakia, David Ellison
, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. Expert Syst. Appl. 202: 117232 (2022) - [c12]Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. CCGRID 2022: 376-385 - [c11]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. COMPSAC 2022: 32-37 - [c10]Yingrui Liu Olesiuk, Miro Hodak, David Ellison, Ajay Dholakia:
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI. TPCTC 2022: 67-77 - [c9]Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta:
Benchmarking Considerations for Trustworthy and Responsible AI (Panel). TPCTC 2022: 110-119 - [i2]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart
, Ajay Dholakia, David Ellison, Miroslav Hodak:
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. CoRR abs/2204.14255 (2022) - 2021
- [c8]Miro Hodak, Ajay Dholakia:
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability. IEEE BigData 2021: 2040-2045 - [c7]Peini Liu, Gusseppe Bravo Rocca
, Jordi Guitart
, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. Middleware Demos/Posters 2021: 1-2 - [c6]Miro Hodak, David Ellison, Ajay Dholakia:
Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results. TPCTC 2021: 50-61 - [i1]Gusseppe Bravo Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak:
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. CoRR abs/2111.03003 (2021) - 2020
- [c5]Miro Hodak, David Ellison, Ajay Dholakia:
Benchmarking AI Inference: Where we are in 2020. TPCTC 2020: 93-102
2010 – 2019
- 2019
- [c4]Miro Hodak, Masha Gorkovenko, Ajay Dholakia:
Towards Power Efficiency in Deep Learning on Data Center Hardware. IEEE BigData 2019: 1814-1820 - [c3]Miro Hodak, Ajay Dholakia:
Challenges in Distributed MLPerf. TPCTC 2019: 39-46 - 2018
- [c2]Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia:
Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching. IEEE BigData 2018: 1945-1950 - [c1]Miro Hodak, Ajay Dholakia:
Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment. TPCTC 2018: 82-93
Coauthor Index
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last updated on 2024-08-03 21:10 CEST by the dblp team
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