Miro Hodak - RankMe

14 papers A* 1Journal 1Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. HPCA Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Király, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi
2024	J	`jnl`	MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI. CoRR Arya Tschand, Arun Tejusve Raghunath Rajan, Sachin Idgunji, Anirban Ghosh, Jeremy Holleman, Csaba Király, Pawan Ambalkar, Ritika Borkar, Ramesh Chukka, Trevor Cockrell, Oliver Curtis, Grigori Fursin, Miro Hodak, Hiwot Kassa, Anton Lokhmotov, Dejan Miskovic, Yuechao Pan, Manu Prasad Manmathan, Liz Raymond, Tom St. John, Arjun Suresh, Rowan Taubitz, Sean Zhan, Scott Wasson, David Kanter, Vijay Janapa Reddi
2024	—	`conf`	Preliminary Results of the MLPerf BERT Inference Benchmark on AMD Instinct GPUs. PEARC Zixian Wang, Khai Vu, Miro Hodak, Aarush Mehrotra, Francisco Gutierrez, Kyle Smith, Gloria Seo, Austin Garcia, Bryan Chin, Marty Kandes, Mary P. Thomas
2023	—	`conf`	Benchmarking Generative AI Performance Requires a Holistic Approach. TPCTC Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig
2023	—	`conf`	Benchmarking Large Language Models: Opportunities and Challenges. TPCTC Miro Hodak, David Ellison, Chris Van Buren, Xiaotong Jiang, Ajay Dholakia
2022	—	`conf`	Benchmarking Considerations for Trustworthy and Responsible AI (Panel). TPCTC Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta
2022	—	`conf`	More the Merrier: Comparative Evaluation of TPCx-AI and MLPerf Benchmarks for AI. TPCTC Yingrui Liu Olesiuk, Miro Hodak, David Ellison, Ajay Dholakia
2021	—	`conf`	Everyone is a Winner: Interpreting MLPerf Inference Benchmark Results. TPCTC Miro Hodak, David Ellison, Ajay Dholakia
2021	—	`conf`	Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability. IEEE BigData Miro Hodak, Ajay Dholakia
2020	—	`conf`	Benchmarking AI Inference: Where we are in 2020. TPCTC Miro Hodak, David Ellison, Ajay Dholakia
2019	—	`conf`	Challenges in Distributed MLPerf. TPCTC Miro Hodak, Ajay Dholakia
2019	—	`conf`	Towards Power Efficiency in Deep Learning on Data Center Hardware. IEEE BigData Miro Hodak, Masha Gorkovenko, Ajay Dholakia
2018	—	`conf`	Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching. IEEE BigData Miro Hodak, David Ellison, Peter Seidel, Ajay Dholakia
2018	—	`conf`	Towards Evaluation of Tensorflow Performance in a Distributed Compute Environment. TPCTC Miro Hodak, Ajay Dholakia