Deepak Narayanan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving. | Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan, Ryan Stutsman |
| 2024 | ICML | MGit: A Model Versioning and Management System. | Wei Hao, Daniel Mendoza, Rafael Mendes, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang |
| 2024 | ICPP | The Case for Co-Designing Model Architectures with Hardware. | Quentin Anthony, Jacob Hatef, Deepak Narayanan, Stella Biderman, Stas Bekman, Junqi Yin, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda |
| 2023 | OSDI | Kerveros: Efficient and Scalable Cloud Admission Control. | Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, David Dion, Thomas Moscibroda, Ishai Menache |
| 2021 | ICML | Memory-Efficient Pipeline-Parallel DNN Training. | Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia |
| 2021 | SC | Efficient large-scale language model training on GPU clusters using megatron-LM. | Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia |
| 2021 | SOSP | Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. | Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia |
| 2020 | OSDI | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads. | Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia |
| 2020 | USENIX | Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads. | Gina Yuan, Shoumik Palkar, Deepak Narayanan, Matei Zaharia |
| 2019 | SOSP | PipeDream: generalized pipeline parallelism for DNN training. | Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia |
| 2017 | CIDR | A Common Runtime for High Performance Data Analysis. | Shoumik Palkar, James Thomas, Anil Shanbhag, Deepak Narayanan, Holger Pirk, Malte Schwarzkopf, Saman P. Amarasinghe, Matei Zaharia |
| 2017 | SIGMOD | MacroBase: Prioritizing Attention in Fast Data. | Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri |