Murali Emani

1.1k total citations
37 papers, 403 citations indexed

About

Murali Emani is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Murali Emani has authored 37 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Murali Emani's work include Parallel Computing and Optimization Techniques (18 papers), Advanced Neural Network Applications (13 papers) and Advanced Data Storage Technologies (11 papers). Murali Emani is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Advanced Neural Network Applications (13 papers) and Advanced Data Storage Technologies (11 papers). Murali Emani collaborates with scholars based in United States, United Kingdom and India. Murali Emani's co-authors include Venkatram Vishwanath, Krishna Teja Chitty-Venkata, Arun K. Somani, Michael O’Boyle, Zheng Wang, Sparsh Mittal, Chunhua Liao, Pei‐Hung Lin, Michael E. Papka and Rick Stevens and has published in prestigious journals such as IEEE Access, Applied Sciences and ACM SIGPLAN Notices.

In The Last Decade

Murali Emani

33 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murali Emani United States 11 143 131 118 110 74 37 403
Woosuk Kwon South Korea 5 101 0.7× 86 0.7× 236 2.0× 91 0.8× 63 0.9× 5 471
Taeweon Suh South Korea 13 222 1.6× 154 1.2× 97 0.8× 43 0.4× 142 1.9× 56 433
Meghan Cowan United States 4 132 0.9× 223 1.7× 251 2.1× 313 2.8× 51 0.7× 6 568
Xiaoshe Dong China 10 344 2.4× 95 0.7× 121 1.0× 41 0.4× 285 3.9× 135 524
Deepak Narayanan United States 7 234 1.6× 132 1.0× 335 2.8× 273 2.5× 142 1.9× 16 636
Hanjun Kim South Korea 15 437 3.1× 315 2.4× 123 1.0× 102 0.9× 171 2.3× 56 643
Henry Selvaraj United States 10 120 0.8× 156 1.2× 54 0.5× 49 0.4× 52 0.7× 53 372
Haitao Zhang China 11 219 1.5× 35 0.3× 48 0.4× 69 0.6× 99 1.3× 51 362

Countries citing papers authored by Murali Emani

Since Specialization
Citations

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

Fields of papers citing papers by Murali Emani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murali Emani

This figure shows the co-authorship network connecting the top 25 collaborators of Murali Emani. A scholar is included among the top collaborators of Murali Emani 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 Murali Emani. Murali Emani 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
1.
2.
Emani, Murali, Sandeep Madireddy, Tung Nguyen, et al.. (2025). AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions. 72–85.
3.
Chitty-Venkata, Krishna Teja, et al.. (2024). LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. 1362–1379. 10 indexed citations
4.
Lusch, Bethany, Murali Emani, Filippo Simini, et al.. (2024). A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. 478–488.
5.
Emani, Murali, et al.. (2024). Cross-Feature Transfer Learning for Efficient Tensor Program Generation. Applied Sciences. 14(2). 513–513. 2 indexed citations
6.
Ding, Xianzhong, et al.. (2023). Data Race Detection Using Large Language Models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 215–223. 7 indexed citations
7.
Chitty-Venkata, Krishna Teja, Sparsh Mittal, Murali Emani, Venkatram Vishwanath, & Arun K. Somani. (2023). A survey of techniques for optimizing transformer inference. Journal of Systems Architecture. 144. 102990–102990. 56 indexed citations
8.
Ward, Logan, Heng Ma, Murali Emani, et al.. (2023). Protein Generation via Genome-scale Language Models with Bio-physical Scoring. 95–101. 3 indexed citations
9.
Emani, Murali, et al.. (2023). Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture. 1949–1957. 1 indexed citations
10.
Lin, Pei‐Hung, et al.. (2022). Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. 128–134. 1 indexed citations
11.
Shen, Xipeng, et al.. (2022). Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. 29–40. 1 indexed citations
12.
13.
Lusch, Bethany, Murali Emani, Filippo Simini, et al.. (2022). Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. 716–725. 2 indexed citations
14.
Emani, Murali, et al.. (2021). HPCFAIR: Enabling FAIR AI for HPC Applications. 58–68. 5 indexed citations
15.
Emani, Murali, Venkatram Vishwanath, C. Adams, et al.. (2021). Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Computing in Science & Engineering. 23(2). 114–119. 39 indexed citations
16.
Lusch, Bethany, et al.. (2019). MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs. 13–18. 11 indexed citations
17.
Skjellum, Anthony, et al.. (2018). MPI Stages. 1–11. 6 indexed citations
18.
Lin, Pei‐Hung, et al.. (2018). Is Data Placement Optimization Still Relevant on Newer GPUs?. 83–96. 5 indexed citations
19.
Emani, Murali, et al.. (2018). Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. 45–49. 5 indexed citations
20.
Emani, Murali, Zheng Wang, & Michael O’Boyle. (2013). Smart, adaptive mapping of parallelism in the presence of external workload. 39 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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Breakdown of academic impact, for papers by Woosuk Kwon Breakdown of academic impact, for papers by Taeweon Suh Breakdown of academic impact, for papers by Meghan Cowan Breakdown of academic impact, for papers by Xiaoshe Dong Breakdown of academic impact, for papers by Deepak Narayanan Breakdown of academic impact, for papers by Hanjun Kim Breakdown of academic impact, for papers by Henry Selvaraj Breakdown of academic impact, for papers by Haitao Zhang
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