Research output per year
Research output per year
Personal profile
Curriculum
Ehsan is a PostDoc researcher at the IT University of Copenhagen (ITU), Denmark. His current research focuses on the efficiency of the hardware resources for emerging applications, especially machine learning workloads, and deep learning training tasks.
He received his PhD degree from the IT University of Copenhagen. His PhD thesis focused on studies and designs for tackling GPU underutilization challenge for deep learning training tasks. Furthermore, during his master's degree in computer architecture, he worked on improving GPU energy efficiency by redesigning their on-chip memories at the microarchitectural level.
His research fields of interest are computer systems, and architecture, GPUs, parallel computing systems, energy-efficient designs, employing machine learning, and deep learning for efficient system design.
Keywords
- Resource-aware Machine Learning
- Developing mechanisms
- System efficient
- Workloads
- AI sustainable
- GPU
- Hardware
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Profiling and Monitoring Deep Learning Training Tasks
Yousefzadeh-Asl-Miandoab, E., Robroek, T. T. & Tözün, P., 2023, In: EuroMLSys '23. p. 18–25Research output: Journal Article or Conference Article in Journal › Conference article › Research › peer-review
Open Access -
An Analysis of Collocation on GPUs for Deep Learning Training
Robroek, T. T., Yousefzadeh-Asl-Miandoab, E. & Tözün, P., 22 Apr 2024, Proceedings of the 4th Workshop on Machine Learning and Systems, EuroMLSys 2024, Athens, Greece, 22 April 2024. Association for Computing Machinery, p. 81-90 10 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Data Management and Visualization for Benchmarking Deep Learning Training Systems
Robroek, T. T., Duane, A., Yousefzadeh-Asl-Miandoab, E. & Tözün, P., 2023, Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, DEEM 2023, Seattle, WA, USA, 18 June 2023. Association for Computing Machinery, p. 1:1-1:5 5 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Profiling and Monitoring Deep Learning Training Tasks
Yousefzadeh-Asl-Miandoab, E., Robroek, T. & Tözün, P., 8 May 2023, Proceedings of the 3rd Workshop on Machine Learning and Systems. New York: Association for Computing Machinery, p. 18-25 7 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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NURA: A Framework for Supporting Non-Uniform Resource Accesses in GPUs.
Darabi, S., Mahani, N., Bakhishi, H., Yousefzadeh-Asl-Miandoab, E., Sadrosadati, M. & Sarbazi-Azad, H., 28 Feb 2022, In: Proc. ACM Meas. Anal. Comput. Syst.. 6, 1, p. 1-27 27 p., 1.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
Projects
- 1 Finished
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RAD: Resource-Aware Data Science
Tözün, P. (PI), Yousefzadeh-Asl-Miandoab, E. (CoI) & Robroek, T. T. (CoI)
Independent Research Fund Denmark
01/04/2021 → 30/04/2025
Project: Research