Dmitrii Ustiugov
Assistant Professor
Designs resource-efficient computer systems, focusing on serverless cloud architecture (the vHive ecosystem) and systems for machine learning.
Dmitrii Ustiugov's lab at NTU works on accelerators, chips & architecture, efficient training & inference and data management & big data. 5 papers since 2023, 2 at top venues, mostly EMNLP and OSDI. 6 PhD students.
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 40%
- PhD students
- 6
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 1 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: EMNLP, OSDI
Research focuspaper titles that use each topic's words
- Efficient training & inference2 papers
- Data management & big data1 paper
- Accelerators, chips & architecture0 papers
- resource-efficient0 papers
- ecosystem0 papers
Paper list
From the lab homepage.
20253 papers
- EuroMLSys@ASPLOS/EuroSysManage the Workloads, not the Cluster: Designing a Control Plane for Large-Scale AI Clusters (poster)
- SESAME@ASPLOS/EuroSysShattering the Ephemeral Storage Cost Barrier for Data-Intensive Serverless Workflows
- EMNLP (T1)Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
20241 paper
- OSDI (T1)ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models
20231 paper
- WORDS@SOSPEnabling In-Vitro Serverless Systems Research
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USUT Austin
Aditya Akella
- Accelerators, chips & architecture
- USGeorgia Tech
Alexey Tumanov
- Efficient training & inference
- USUIUC
Nishil Talati
- Accelerators, chips & architecture
- CNPeking
Xiang Chen
- Distributed, cloud & edge systems
- USUIUC
Francis Yan
- Data management & big data
- GBOxford
Hamed Haddadi
- Efficient training & inference
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.