Minsoo Rhu

3.5k total citations · 1 hit paper
49 papers, 1.9k citations indexed

About

Minsoo Rhu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minsoo Rhu has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hardware and Architecture, 19 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minsoo Rhu's work include Parallel Computing and Optimization Techniques (21 papers), Advanced Data Storage Technologies (11 papers) and Advanced Memory and Neural Computing (10 papers). Minsoo Rhu is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Advanced Data Storage Technologies (11 papers) and Advanced Memory and Neural Computing (10 papers). Minsoo Rhu collaborates with scholars based in South Korea, United States and Canada. Minsoo Rhu's co-authors include Mattan Erez, Youngeun Kwon, William J. Dally, Brucek Khailany, Anurag Mukkara, Antonio Puglielli, Angshuman Parashar, Joel Emer, Rangharajan Venkatesan and Stephen W. Keckler and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Micro and IEEE Computer Architecture Letters.

In The Last Decade

Minsoo Rhu

45 papers receiving 1.9k citations

Hit Papers

SCNN 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SCNN
    2017 584 citations Angshuman Parashar, Minsoo Rhu et al. profile →

Peers

Minsoo Rhu
Xiaobing Feng China
Tayler Hetherington Canada
Ninghui Sun China
Eriko Nurvitadhi United States
Yakun Sophia Shao United States
Anurag Mukkara United States
Xuehai Qian United States
Jaewoong Sim United States
Ningyi Xu China
Jongse Park United States
Xiaobing Feng China
Minsoo Rhu
Citations per year, relative to Minsoo Rhu Minsoo Rhu (= 1×) peers Xiaobing Feng

Countries citing papers authored by Minsoo Rhu

Since Specialization
Citations

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

Fields of papers citing papers by Minsoo Rhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsoo Rhu

This figure shows the co-authorship network connecting the top 25 collaborators of Minsoo Rhu. A scholar is included among the top collaborators of Minsoo Rhu 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 Minsoo Rhu. Minsoo Rhu 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.
Kim, Taesu, et al.. (2025). Debunking the CUDA Myth Towards GPU-based AI Systems. 1760–1776.
2.
Rhu, Minsoo, et al.. (2024). Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology. 263–279. 25 indexed citations
3.
Rhu, Minsoo, et al.. (2024). PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. 340–353. 3 indexed citations
4.
5.
Rhu, Minsoo, et al.. (2024). Characterization and Analysis of Text-to-Image Diffusion Models. IEEE Computer Architecture Letters. 23(2). 227–230. 1 indexed citations
6.
Lam, Maximilian, Jeff Johnson, Wenjie Xiong, et al.. (2024). GPU-based Private Information Retrieval for On-Device Machine Learning Inference. VTechWorks (Virginia Tech). 197–214. 4 indexed citations
7.
Lee, Jae W., et al.. (2024). A Quantitative Analysis of State Space Model-Based Large Language Model: Study of Hungry Hungry Hippos. IEEE Computer Architecture Letters. 23(2). 154–157.
8.
9.
Rhu, Minsoo, et al.. (2024). PIM-MMU: A Memory Management Unit for Accelerating Data Transfers in Commercial PIM Systems. 627–642. 4 indexed citations
10.
Jin, Zhigang, Cristian E. La Rocca, Minsoo Rhu, et al.. (2024). Uncovering Real GPU NoC Characteristics: Implications on Interconnect Architecture. 885–898. 3 indexed citations
11.
Rhu, Minsoo, et al.. (2023). FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems. IEEE Computer Architecture Letters. 23(1). 13–16. 1 indexed citations
12.
Rhu, Minsoo, et al.. (2021). Trident: A Hybrid Correlation-Collision GPU Cache Timing Attack for AES Key Recovery. 332–344. 10 indexed citations
13.
Park, Jaehyun, et al.. (2021). TRiM: Enhancing Processor-Memory Interfaces with Scalable Tensor Reduction in Memory. 268–281. 42 indexed citations
14.
Kwon, Youngeun, et al.. (2021). Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. IEEE Computer Architecture Letters. 20(2). 118–121. 7 indexed citations
15.
Rhu, Minsoo, et al.. (2020). Bandwidth Bottleneck in Network-on-Chip for High-Throughput Processors. 157–158. 3 indexed citations
16.
Kwon, Youngeun, Y. Lee, & Minsoo Rhu. (2019). TensorDIMM. 740–753. 146 indexed citations
17.
Kwon, Youngeun & Minsoo Rhu. (2018). Beyond the Memory Wall: A Case for Memory-Centric HPC System for Deep Learning. 148–161. 31 indexed citations
18.
Parashar, Angshuman, Minsoo Rhu, Anurag Mukkara, et al.. (2017). SCNN. ACM SIGARCH Computer Architecture News. 45(2). 27–40. 276 indexed citations
19.
Rhu, Minsoo & Mattan Erez. (2013). The dual-path execution model for efficient GPU control flow. 591–602. 52 indexed citations
20.
Rhu, Minsoo & Mattan Erez. (2012). CAPRI. ACM SIGARCH Computer Architecture News. 40(3). 61–71. 44 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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