Suhas Jayaram Subramanya
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
3
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SOSP | COpter: Efficient Large-Scale Resource-Allocation via Continual Optimization. | Suhas Jayaram Subramanya, Don Kurian Dennis, Virginia Smith, Gregory R. Ganger |
| 2023 | SOSP | Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. | Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, Gregory R. Ganger |
| 2021 | OSDI | Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. | Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing |
| 2020 | OSDI | PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy. | Saurabh Kadekodi, Francisco Maturana, Suhas Jayaram Subramanya, Juncheng Yang, K. V. Rashmi, Gregory R. Ganger |
| 2019 | NSDI | BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference? | Suhas Jayaram Subramanya, Harsha Vardhan Simhadri, Srajan Garg, Anil Kag, Venkatesh Balasubramanian |