Hari Subramoni

3.3k total citations
162 papers, 1.9k citations indexed

About

Hari Subramoni is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Hari Subramoni has authored 162 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Computer Networks and Communications, 104 papers in Hardware and Architecture and 34 papers in Artificial Intelligence. Recurrent topics in Hari Subramoni's work include Parallel Computing and Optimization Techniques (103 papers), Advanced Data Storage Technologies (78 papers) and Interconnection Networks and Systems (42 papers). Hari Subramoni is often cited by papers focused on Parallel Computing and Optimization Techniques (103 papers), Advanced Data Storage Technologies (78 papers) and Interconnection Networks and Systems (42 papers). Hari Subramoni collaborates with scholars based in United States, South Korea and Mexico. Hari Subramoni's co-authors include Dhabaleswar K. Panda, Jithin Jose, Ammar Ahmad Awan, Krishna Kandalla, Ching-Hsiang Chu, Md. Wasi-ur-Rahman, Xiaoyi Lu, Nusrat Sharmin Islam, Sourav Chakraborty and Miao Luo and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing and IEEE Micro.

In The Last Decade

Hari Subramoni

152 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hari Subramoni United States 24 1.5k 884 672 290 277 162 1.9k
Christophe Dubach United Kingdom 17 897 0.6× 1.2k 1.4× 302 0.4× 242 0.8× 151 0.5× 70 1.4k
Shuaiwen Leon Song United States 23 959 0.7× 1.1k 1.2× 530 0.8× 370 1.3× 361 1.3× 80 1.6k
Alexey Lastovetsky Ireland 22 1.1k 0.7× 975 1.1× 430 0.6× 107 0.4× 80 0.3× 127 1.4k
Ras Bodik United States 4 875 0.6× 931 1.1× 208 0.3× 154 0.5× 113 0.4× 6 1.3k
Sergei Gorlatch Germany 18 926 0.6× 746 0.8× 310 0.5× 271 0.9× 82 0.3× 141 1.3k
Rudolf Eigenmann United States 27 2.0k 1.4× 2.3k 2.6× 688 1.0× 470 1.6× 132 0.5× 127 2.8k
Xiaosong Ma United States 25 1.7k 1.1× 802 0.9× 911 1.4× 401 1.4× 377 1.4× 99 2.1k
David Nellans United States 24 1.4k 1.0× 1.4k 1.6× 463 0.7× 152 0.5× 177 0.6× 41 1.8k
John Cavazos United States 23 939 0.6× 1.4k 1.6× 636 0.9× 444 1.5× 104 0.4× 53 1.7k

Countries citing papers authored by Hari Subramoni

Since Specialization
Citations

This map shows the geographic impact of Hari Subramoni'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 Hari Subramoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hari Subramoni more than expected).

Fields of papers citing papers by Hari Subramoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hari Subramoni. 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 Hari Subramoni. The network helps show where Hari Subramoni may publish in the future.

Co-authorship network of co-authors of Hari Subramoni

This figure shows the co-authorship network connecting the top 25 collaborators of Hari Subramoni. A scholar is included among the top collaborators of Hari Subramoni 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 Hari Subramoni. Hari Subramoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Subramoni, Hari, et al.. (2024). Design and Implementation of an IPC-based Collective MPI Library for Intel GPUs. 1–9. 2 indexed citations
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Shafi, Aamir, et al.. (2024). Using BlueField-3 SmartNICs to Offload Vector Operations in Krylov Subspace Methods. 155–165. 1 indexed citations
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Subramoni, Hari, et al.. (2024). Design and Implementation of Kernel-based MPI Reduction Operations for Intel GPU s. 122–131. 1 indexed citations
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Tomko, Karen, et al.. (2023). Optimizing Amber for Device-to-Device GPU Communication. Practice and Experience in Advanced Research Computing. 200–205. 1 indexed citations
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Subramoni, Hari, et al.. (2023). Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication. 477–487. 1 indexed citations
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Subramoni, Hari, et al.. (2023). DPU-Bench: A Micro-Benchmark Suite to Measure Offload Efficiency Of SmartNICs. Practice and Experience in Advanced Research Computing. 94–101. 4 indexed citations
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Subramoni, Hari, et al.. (2019). Efficient design for MPI asynchronous progress without dedicated resources. Parallel Computing. 85. 13–26. 6 indexed citations
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Awan, Ammar Ahmad, et al.. (2019). Optimized large-message broadcast for deep learning workloads: MPI, MPI+NCCL, or NCCL2?. Parallel Computing. 85. 141–152. 13 indexed citations
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Potluri, Sreeram, Devendar Bureddy, Khaled Hamidouche, et al.. (2013). MVAPICH-PRISM. 1–11. 28 indexed citations
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Jose, Jithin, et al.. (2012). High performance RDMA-based design of HDFS over InfiniBand. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–12. 81 indexed citations
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Subramoni, Hari, Sreeram Potluri, Krishna Kandalla, et al.. (2012). Design of a scalable InfiniBand topology service to enable network-topology-aware placement of processes. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–12. 29 indexed citations
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Subramoni, Hari, Krishna Kandalla, Sayantan Sur, et al.. (2011). Design and Evaluation of Network Topology-/Speed- Aware Broadcast Algorithms for InfiniBand Clusters. 317–325. 27 indexed citations

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.

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