Deepak Narayanan
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 10%
Papers in
-
- Data Stream Mining Techniques 3
- Machine Learning and Data Classification 3
- Stochastic Gradient Optimization Techniques 3
- Anomaly Detection Techniques and Applications 2
-
- Optimization and Search Problems 2
- Co-authors
- Matei Zaharia (9 shared papers)Amar Phanishayee (5 shared papers)Vivek Seshadri (1 shared paper)Phillip B. Gibbons (1 shared paper)Nikhil R. Devanur (1 shared paper)Aaron Harlap (1 shared paper)Gregory R. Ganger (1 shared paper)Samuel Madden (3 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Mathematical Programming Computation (1 paper)ACM Transactions on Database Systems (1 paper)Indian Journal of Thoracic and Cardiovascular Surgery (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Deepak Narayanan
14 papers receiving 612 citations
Deepak Narayanan's Hit Papers
Peers
Comparison fields: 5 of 52
- Hardware and Architecture 132
- Computational Mathematics 10
- Computer Vision and Pattern Recognition 273
- Artificial Intelligence 335
- Computer Networks and Communications 234
Countries citing papers authored by Deepak Narayanan
This map shows the geographic impact of Deepak Narayanan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deepak Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Narayanan more than expected).
Fields of papers citing papers by Deepak Narayanan
This network shows the impact of papers produced by Deepak Narayanan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deepak Narayanan. The network helps show where Deepak Narayanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Narayanan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | PipeDream Hit paper breakdown → | 2019 | 428 |
| 2 | 2017 | 63 | |
| 3 | 2018 | 45 | |
| 4 | 2021 | 32 | |
| 5 | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads | 2020 | 25 |
| 6 | Accelerating Deep Learning Workloads Through Efficient Multi-Model Execution | 2018 | 12 |
| 7 | Piper: Multidimensional Planner for DNN Parallelization | 2021 | 9 |
| 8 | Analysis and Exploitation of Dynamic Pricing in the Public Cloud for ML Training | 2020 | 5 |
| 9 | 2020 | 4 | |
| 10 | 2018 | 4 | |
| 11 | Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads | 2020 | 3 |
| 12 | 2024 | 3 | |
| 13 | SED Analysis using Machine Learning Algorithms | 2021 | 1 |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 0 |
About Deepak Narayanan
Deepak Narayanan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 636 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (4 papers), Data Stream Mining Techniques (3 papers), Machine Learning and Data Classification (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Hardware and Architecture (132 citations), Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (273 citations), Artificial Intelligence (335 citations) and Computer Networks and Communications (234 citations). Deepak Narayanan has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Matei Zaharia, Amar Phanishayee, Vivek Seshadri, Phillip B. Gibbons, Nikhil R. Devanur, Aaron Harlap, Gregory R. Ganger, Samuel Madden, Peter Bailis and Edward Gan. Their work appears in journals such as Proceedings of the VLDB Endowment, Mathematical Programming Computation, ACM Transactions on Database Systems, Indian Journal of Thoracic and Cardiovascular Surgery and Neural Information Processing Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.