Deepak Narayanan
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Computational Mathematics top 10%
Papers in
-
- Parallel Computing and Optimization Techniques 5
-
- Machine Learning and Data Classification 3
- Data Stream Mining Techniques 3
- Stochastic Gradient Optimization Techniques 3
- Co-authors
- Matei Zaharia (11 shared papers)Amar Phanishayee (6 shared papers)Nikhil R. Devanur (1 shared paper)Phillip B. Gibbons (1 shared paper)Vivek Seshadri (1 shared paper)Gregory R. Ganger (1 shared paper)Samuel R. Madden (3 shared papers)Peter D. Bailis (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Mathematical Programming Computation (1 paper)Dynamics of Atmospheres and Oceans (1 paper)ACM Transactions on Database Systems (1 paper)ACM SIGOPS Operating Systems Review (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Deepak Narayanan
19 papers receiving 797 citations
Deepak Narayanan's Hit Papers
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 160
- Computational Mathematics 10
- Computer Vision and Pattern Recognition 338
- Computer Networks and Communications 300
- Artificial Intelligence 419
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 | 537 |
| 2 | 2017 | 73 | |
| 3 | 2018 | 55 | |
| 4 | 2021 | 40 | |
| 5 | Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads | 2020 | 32 |
| 6 | 2021 | 18 | |
| 7 | MLPerf Training Benchmark | 2020 | 15 |
| 8 | Accelerating Deep Learning Workloads Through Efficient Multi-Model Execution | 2018 | 15 |
| 9 | Piper: Multidimensional Planner for DNN Parallelization | 2021 | 9 |
| 10 | Analysis and Exploitation of Dynamic Pricing in the Public Cloud for ML Training | 2020 | 6 |
| 11 | 2018 | 5 | |
| 12 | 2020 | 5 | |
| 13 | Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads | 2020 | 4 |
| 14 | 2024 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 0 |
About Deepak Narayanan
Deepak Narayanan is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 20 papers that have together received 828 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Cloud Computing and Resource Management (4 papers), Advanced Neural Network Applications (4 papers), Machine Learning and Data Classification (3 papers), Data Stream Mining Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Optimization and Search Problems (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (160 citations), Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (338 citations), Computer Networks and Communications (300 citations) and Artificial Intelligence (419 citations). Deepak Narayanan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Matei Zaharia, Amar Phanishayee, Nikhil R. Devanur, Phillip B. Gibbons, Vivek Seshadri, Gregory R. Ganger, Samuel R. Madden, Peter D. Bailis, Edward Gan and Fiodar Kazhamiaka. Their work appears in journals such as Proceedings of the VLDB Endowment, Mathematical Programming Computation, Dynamics of Atmospheres and Oceans, ACM Transactions on Database Systems and ACM SIGOPS Operating Systems Review.
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.