DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the cloud
Wang Q, Lan T, Tang Y, et al. DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud[J].
Published in VLDB, 2024
CV
Education
- B.E. in Computer Science, Sichuan University, 2026 (expected)
Honors and Awards
- Gold Medal, International Collegiate Programming Contest (ICPC) Jinan Regional Contest, 2022
- Silver Medal, International Collegiate Programming Contest (ICPC) Nanjing Regional Contest, 2022
- Bronze Medal, International Collegiate Programming Contest East Asia Regional Final (ICPC-EC Final), 2023
- Silver Medal, China Collegiate Programming Contest (CCPC), 2022
- Gold Medal, CCF Collegiate Computer Systems and Programming Contest (CCSP), 2023
- First Prize, The 15th Lanqiao Cup National Software Competition, 2023
- Gold Medal, Sichuan Collegiate Programming Contest (2nd place), 2024
- Gold Medal, Sichuan Collegiate Programming Contest (3rd place), 2023
- Gold Medal, Sichuan Collegiate Programming Contest (3rd place), 2022
- Bronze Medal, National Olympiad in Informatics (NOI), 2021
- First Prize, National Olympiad in Informatics in Provinces (NOIP), 2021
- First Prize, National Olympiad in Informatics in Provinces (NOIP), 2020
- Silver Medal, Asia-Pacific Informatics Olympiad (APIO), 2021
- Bronze Medal, Asia-Pacific Informatics Olympiad (APIO), 2020.
Publications
Projects
DLRover: An Automatic Distributed Deep Learning System
DLRover makes the distributed training of large AI models easy, stable, fast and green. It can automatically train the Deep Learning model on the distributed cluster. It helps model developers to focus on model arichtecture, without taking care of any engineering stuff, say, hardware acceleration, distributed running, etc.
