Dhiraj Kalamkar
- Hardware and Architecture top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Alexander HeineckePradeep DubeyEvangelos GeorganasMikhail SmelyanskiySasikanth AvanchaKarthikeyan VaidyanathanSrinivas SridharanJongsoo Park
- Topics
- Parallel Computing and Optimization Techniques (16 papers)Advanced Data Storage Technologies (6 papers)Stochastic Gradient Optimization Techniques (5 papers)
- Journals
- The International Journal of High Performance Computing ApplicationsFrontiers in Applied Mathematics and StatisticsSupercomputing Frontiers and Innovations
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Dhiraj Kalamkar
21 papers receiving 334 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 211
- Computer Networks and Communications 176
- Artificial Intelligence 104
- Computer Vision and Pattern Recognition 77
- Computational Theory and Mathematics 43
Countries citing papers authored by Dhiraj Kalamkar
This map shows the geographic impact of Dhiraj Kalamkar'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 Dhiraj Kalamkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhiraj Kalamkar more than expected).
Fields of papers citing papers by Dhiraj Kalamkar
This network shows the impact of papers produced by Dhiraj Kalamkar. 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 Dhiraj Kalamkar. The network helps show where Dhiraj Kalamkar may publish in the future.
Co-authorship network of co-authors of Dhiraj Kalamkar
This figure shows the co-authorship network connecting the top 25 collaborators of Dhiraj Kalamkar. A scholar is included among the top collaborators of Dhiraj Kalamkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dhiraj Kalamkar. Dhiraj Kalamkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads | 1 |
| 4 | 65 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | K-TanH: Hardware Efficient Activations For Deep Learning. | 3 |
| 9 | Mixed Precision Training of Convolutional Neural Networks using Integer Operations | 15 |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 36 | |
| 15 | 25 | |
| 16 | Lattice QCD on Intel Xeon Phi | 5 |
| 17 | 42 | |
| 18 | 9 | |
| 19 | 33 | |
| 20 | 5 |
About Dhiraj Kalamkar
Dhiraj Kalamkar is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Advanced Data Storage Technologies (6 papers) and Stochastic Gradient Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (211 citations), Computational Mathematics (7 citations) and Computer Networks and Communications (176 citations). Dhiraj Kalamkar has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Alexander Heinecke, Pradeep Dubey, Evangelos Georganas, Mikhail Smelyanskiy, Sasikanth Avancha, Karthikeyan Vaidyanathan, Srinivas Sridharan, Jongsoo Park, Amik Singh and Samuel Williams. Their work appears in journals such as The International Journal of High Performance Computing Applications, Frontiers in Applied Mathematics and Statistics and Supercomputing Frontiers and Innovations.
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.