Panruo Wu

809 total citations
33 papers, 488 citations indexed

About

Panruo Wu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Panruo Wu has authored 33 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 22 papers in Hardware and Architecture and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Panruo Wu's work include Parallel Computing and Optimization Techniques (22 papers), Radiation Effects in Electronics (14 papers) and Distributed systems and fault tolerance (14 papers). Panruo Wu is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Radiation Effects in Electronics (14 papers) and Distributed systems and fault tolerance (14 papers). Panruo Wu collaborates with scholars based in United States, United Kingdom and China. Panruo Wu's co-authors include Zizhong Chen, Dingwen Tao, Jeffrey S. Vetter, Jack Dongarra, James Z. Wang, Jia Li, Jianbo Ye, Azzam Haidar, Xin Liang and Qiang Guan and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Panruo Wu

33 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panruo Wu United States 14 304 255 168 105 60 33 488
Nicolas Vasilache United States 11 360 1.2× 584 2.3× 103 0.6× 206 2.0× 87 1.4× 16 763
Vinod Grover United States 15 345 1.1× 488 1.9× 71 0.4× 145 1.4× 59 1.0× 25 579
Harry A. G. Wijshoff Netherlands 17 459 1.5× 558 2.2× 91 0.5× 165 1.6× 108 1.8× 67 794
A. Gacic United States 6 251 0.8× 418 1.6× 74 0.4× 135 1.3× 78 1.3× 9 703
Hyojin Sung United States 10 630 2.1× 661 2.6× 112 0.7× 163 1.6× 175 2.9× 32 787
Sihuan Li United States 12 344 1.1× 298 1.2× 98 0.6× 315 3.0× 27 0.5× 19 657
Marc Casas Spain 16 549 1.8× 572 2.2× 128 0.8× 84 0.8× 193 3.2× 95 752
Larry Carter United States 17 480 1.6× 509 2.0× 45 0.3× 201 1.9× 68 1.1× 48 741
Jacqueline Chame United States 12 580 1.9× 753 3.0× 183 1.1× 153 1.5× 127 2.1× 23 863
Kishore Kothapalli India 14 416 1.4× 217 0.9× 60 0.4× 191 1.8× 64 1.1× 76 665

Countries citing papers authored by Panruo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Panruo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panruo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Panruo Wu. A scholar is included among the top collaborators of Panruo Wu 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 Panruo Wu. Panruo Wu 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.
Zou, Guangtian, et al.. (2024). High Performance Householder QR Factorization on Emerging GPU Architectures Using Tensor Cores. IEEE Transactions on Parallel and Distributed Systems. 36(3). 422–436. 1 indexed citations
3.
Wu, Panruo, et al.. (2020). TensorSVM. 1–11. 7 indexed citations
4.
Lin, Ying, et al.. (2019). xSVM: Scalable Distributed Kernel Support Vector Machine Training. 155–164. 5 indexed citations
5.
Dongarra, Jack, Mark Gates, Azzam Haidar, et al.. (2019). PLASMA. ACM Transactions on Mathematical Software. 45(2). 1–35. 30 indexed citations
6.
Yamazaki, Ichitaro, Jakub Kurzak, Panruo Wu, Mawussi Zounon, & Jack Dongarra. (2018). Symmetric Indefinite Linear Solver Using OpenMP Task on Multicore Architectures. IEEE Transactions on Parallel and Distributed Systems. 29(8). 1879–1892. 8 indexed citations
7.
Wu, Panruo, Nathan DeBardeleben, Qiang Guan, et al.. (2017). Silent Data Corruption Resilient Two-sided Matrix Factorizations. ACM SIGPLAN Notices. 52(8). 415–427. 2 indexed citations
8.
Ye, Jianbo, Panruo Wu, James Z. Wang, & Jia Li. (2017). Fast Discrete Distribution Clustering Using Wasserstein Barycenter With Sparse Support. IEEE Transactions on Signal Processing. 65(9). 2317–2332. 48 indexed citations
9.
Liang, Xin, Jieyang Chen, Dingwen Tao, et al.. (2017). Correcting soft errors online in fast fourier transform. IUScholarWorks (Indiana University). 1–12. 18 indexed citations
10.
Haidar, Azzam, Panruo Wu, Stanimire Tomov, & Jack Dongarra. (2017). Investigating half precision arithmetic to accelerate dense linear system solvers. 1–8. 32 indexed citations
11.
Abdelfattah, Ahmad, Hartwig Anzt, Aurélien Bouteiller, et al.. (2017). Roadmap for the Development of a Linear Algebra Library for Exascale Computing: SLATE: Software for Linear Algebra Targeting Exascale. 5 indexed citations
13.
Chen, Jieyang, Panruo Wu, Dingwen Tao, et al.. (2016). GreenLA: Green Linear Algebra Software for GPU-accelerated Heterogeneous Computing. 667–677. 4 indexed citations
14.
Wu, Panruo, Dong Li, Zizhong Chen, Jeffrey S. Vetter, & Sparsh Mittal. (2016). Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. 141–152. 30 indexed citations
15.
Fang, Bo, Panruo Wu, Qiang Guan, et al.. (2016). SDC is in the Eye of the Beholder: A Survey and Preliminary Study. 1. 72–76. 8 indexed citations
16.
Song, Shuaiwen Leon, et al.. (2015). Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing. 786–796. 28 indexed citations
17.
Wu, Panruo, et al.. (2014). Fail-Stop Failure Algorithm-Based Fault Tolerance for Cholesky Decomposition. IEEE Transactions on Parallel and Distributed Systems. 26(5). 1323–1335. 21 indexed citations
18.
Chen, Longxiang, Dingwen Tao, Panruo Wu, & Zizhong Chen. (2014). Extending checksum-based ABFT to tolerate soft errors online in iterative methods. 344–351. 5 indexed citations
19.
Wu, Panruo & Zizhong Chen. (2014). FT-ScaLAPACK. 49–60. 37 indexed citations
20.
Chen, Longxiang, Panruo Wu, Zizhong Chen, Rong Ge, & Ziliang Zong. (2012). Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-enabled Clusters. 239–245. 4 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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