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Miro Hodak
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 10
Top Topics
John Mccarthy
Deep Learning
Inference Problems
Data Center
Top Venues
TPCTC
IEEE BigData
PEARC
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Publications
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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)
Yingrui Liu Olesiuk
,
Miro Hodak
,
David Ellison
,
Ajay Dholakia
More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI.
TPCTC
(2022)
Ajay Dholakia
,
David Ellison
,
Miro Hodak
,
Debojyoti Dutta
Benchmarking Considerations for Trustworthy and Responsible AI (Panel).
TPCTC
(2022)
Miro Hodak
,
David Ellison
,
Ajay Dholakia
Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results.
TPCTC
(2021)
Miro Hodak
,
Ajay Dholakia
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability.
IEEE BigData
(2021)
Miro Hodak
,
David Ellison
,
Ajay Dholakia
Benchmarking AI Inference: Where we are in 2020.
TPCTC
(2020)
Miro Hodak
,
Masha Gorkovenko
,
Ajay Dholakia
Towards Power Efficiency in Deep Learning on Data Center Hardware.
IEEE BigData
(2019)
Miro Hodak
,
Ajay Dholakia
Challenges in Distributed MLPerf.
TPCTC
(2019)
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)
Miro Hodak
,
Ajay Dholakia
Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment.
TPCTC
(2018)