Prasanth Chatarasi

707 total citations
14 papers, 426 citations indexed

About

Prasanth Chatarasi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Prasanth Chatarasi has authored 14 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 9 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Prasanth Chatarasi's work include Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). Prasanth Chatarasi is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). Prasanth Chatarasi collaborates with scholars based in United States and South Korea. Prasanth Chatarasi's co-authors include Vivek Sarkar, Tushar Krishna, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Jun Shirako, Sivasankaran Rajamanickam, Thomas M. Conte, Jeffrey Young and Jason Riedy and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Micro and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Prasanth Chatarasi

13 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prasanth Chatarasi United States	8	219	213	191	116	111	14	426
Eric Qin United States	8	252 1.2×	188 0.9×	144 0.8×	116 1.0×	125 1.1×	11	459
Victor A. Ying United States	6	303 1.4×	256 1.2×	188 1.0×	160 1.4×	117 1.1×	9	497
Guohao Dai China	10	199 0.9×	113 0.5×	160 0.8×	84 0.7×	157 1.4×	46	432
Sheng-Chun Kao United States	8	125 0.6×	118 0.6×	100 0.5×	76 0.7×	68 0.6×	15	265
Zongwei Zhou United States	2	175 0.8×	139 0.7×	82 0.4×	123 1.1×	123 1.1×	3	415
Jinhong Zhou China	7	153 0.7×	108 0.5×	187 1.0×	80 0.7×	111 1.0×	17	338
Huiying Lan China	4	258 1.2×	116 0.5×	332 1.7×	39 0.3×	202 1.8×	8	476
Joonho Song South Korea	7	179 0.8×	106 0.5×	105 0.5×	88 0.8×	65 0.6×	16	311
Neal Crago United States	12	143 0.7×	470 2.2×	132 0.7×	368 3.2×	116 1.0×	19	617
Manoj Alwani India	3	253 1.2×	93 0.4×	345 1.8×	42 0.4×	139 1.3×	7	465

Countries citing papers authored by Prasanth Chatarasi

Since Specialization

Citations

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

Fields of papers citing papers by Prasanth Chatarasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasanth Chatarasi

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

All Works

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14 of 14 papers shown

Chatarasi, Prasanth, et al.. (2024). FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. 198–214. 10 indexed citations

Kwon, Hyoukjun, et al.. (2021). Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Transactions on Parallel and Distributed Systems. 33(4). 1002–1014. 23 indexed citations

Kestor, Gökçen, Prasanth Chatarasi, Angshuman Parashar, et al.. (2021). Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 30–44. 10 indexed citations

Chatarasi, Prasanth, Hyoukjun Kwon, Angshuman Parashar, et al.. (2021). Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. ACM Transactions on Architecture and Code Optimization. 19(1). 1–26. 22 indexed citations

Chatarasi, Prasanth, et al.. (2020). MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators.. arXiv (Cornell University). 1 indexed citations

Kwon, Hyoukjun, Prasanth Chatarasi, Vivek Sarkar, et al.. (2020). MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. IEEE Micro. 40(3). 20–29. 116 indexed citations

Kwon, Hyoukjun, Prasanth Chatarasi, Michael Pellauer, et al.. (2019). Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow. 754–768. 204 indexed citations

Young, Jeffrey, et al.. (2019). Experimental Insights from the Rogues Gallery. 1–8. 9 indexed citations

Kwon, Hyoukjun, Prasanth Chatarasi, Michael Pellauer, et al.. (2018). A Data-Centric Approach for Modeling and Estimating Efficiency of Dataflows for Accelerator Design. arXiv (Cornell University). 5 indexed citations

10.

Kwon, Hyoukjun, Prasanth Chatarasi, Michael Pellauer, et al.. (2018). Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach. arXiv (Cornell University). 3 indexed citations

11.

Chatarasi, Prasanth & Vivek Sarkar. (2018). A Preliminary Study of Compiler Transformations for Graph Applications on the Emu System. 37–44. 3 indexed citations

12.

Chatarasi, Prasanth & Vivek Sarkar. (2015). Extending Polyhedral Model for Analysis and Transformation of OpenMP Programs. 490–491.

13.

Chatarasi, Prasanth, Jun Shirako, & Vivek Sarkar. (2015). Polyhedral Transformations of Explicitly Parallel Programs. 3 indexed citations

14.

Chatarasi, Prasanth, Jun Shirako, & Vivek Sarkar. (2015). Polyhedral Optimizations of Explicitly Parallel Programs. 213–226. 17 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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