Sara S. Baghsorkhi

2.3k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Sara S. Baghsorkhi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sara S. Baghsorkhi has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Sara S. Baghsorkhi's work include Parallel Computing and Optimization Techniques (17 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Data Storage Technologies (7 papers). Sara S. Baghsorkhi is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Distributed and Parallel Computing Systems (7 papers) and Advanced Data Storage Technologies (7 papers). Sara S. Baghsorkhi collaborates with scholars based in United States, United Kingdom and Spain. Sara S. Baghsorkhi's co-authors include Wen‐mei Hwu, Shane Ryoo, Sam S. Stone, Christopher Rodrigues, David B. Kirk, Sanjay J. Patel, William Gropp, Sain-Zee Ueng, John A. Stratton and Naga K. Govindaraju and has published in prestigious journals such as ACM SIGPLAN Notices, Journal of Parallel and Distributed Computing and Proceedings - ACM IEEE Design Automation Conference.

In The Last Decade

Sara S. Baghsorkhi

21 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Optimization principles and application performance evaluation of a multithreaded GPU using CUDA

2008 614 citations Shane Ryoo, Christopher Rodrigues et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara S. Baghsorkhi United States	13	955	859	223	215	190	21	1.4k
Sam S. Stone United States	9	673 0.7×	625 0.7×	195 0.9×	172 0.8×	137 0.7×	13	1.2k
Timothy G. Mattson United States	18	966 1.0×	1.1k 1.2×	179 0.8×	305 1.4×	352 1.9×	65	1.7k
Shane Ryoo United States	8	656 0.7×	608 0.7×	185 0.8×	156 0.7×	136 0.7×	12	1.1k
Erik Lindholm United States	6	814 0.9×	736 0.9×	295 1.3×	153 0.7×	142 0.7×	6	1.4k
Guochun Shi United States	9	584 0.6×	567 0.7×	183 0.8×	187 0.9×	222 1.2×	22	1.2k
Daniel Reiter Horn United States	9	1.1k 1.1×	949 1.1×	346 1.6×	210 1.0×	220 1.2×	11	1.7k
Daehyun Kim United States	17	763 0.8×	770 0.9×	269 1.2×	335 1.6×	243 1.3×	57	1.6k
Ras Bodik United States	4	931 1.0×	875 1.0×	113 0.5×	154 0.7×	208 1.1×	6	1.3k
Dror Maydan United States	13	754 0.8×	621 0.7×	163 0.7×	230 1.1×	130 0.7×	17	1.4k
Manuel Prieto Spain	21	730 0.8×	676 0.8×	373 1.7×	190 0.9×	303 1.6×	145	1.6k

Countries citing papers authored by Sara S. Baghsorkhi

Since Specialization

Citations

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

Fields of papers citing papers by Sara S. Baghsorkhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara S. Baghsorkhi. 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 Sara S. Baghsorkhi. The network helps show where Sara S. Baghsorkhi may publish in the future.

Co-authorship network of co-authors of Sara S. Baghsorkhi

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

All Works

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20 of 20 papers shown

1.

Ji, Houxiang, et al.. (2020). SAVE: Sparsity-Aware Vector Engine for Accelerating DNN Training and Inference on CPUs. 796–810. 23 indexed citations

2.

Baghsorkhi, Sara S., et al.. (2019). C3-Flow. 1–6. 3 indexed citations

3.

Baghsorkhi, Sara S., et al.. (2018). Automating efficient variable-grained resiliency for low-power IoT systems. 38–49. 1 indexed citations

4.

Baghsorkhi, Sara S., et al.. (2016). FlexVec: auto-vectorization for irregular loops. 697–710. 19 indexed citations

5.

Baghsorkhi, Sara S., et al.. (2016). FlexVec: auto-vectorization for irregular loops. ACM SIGPLAN Notices. 51(6). 697–710. 4 indexed citations

6.

Baghsorkhi, Sara S., et al.. (2012). Efficient performance evaluation of memory hierarchy for highly multithreaded graphics processors. ACM SIGPLAN Notices. 47(8). 23–34. 7 indexed citations

7.

Baghsorkhi, Sara S., et al.. (2012). Efficient performance evaluation of memory hierarchy for highly multithreaded graphics processors. 23–34. 36 indexed citations

8.

Kim, Hyesoon, Richard Vuduc, Sara S. Baghsorkhi, Jee Hyun Choi, & Wen‐mei Hwu. (2012). Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU). 7 indexed citations

9.

Kim, Hyesoon, Richard Vuduc, Sara S. Baghsorkhi, Jee Choi, & Wen‐mei Hwu. (2012). Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU). 7(2). 1–96. 13 indexed citations

10.

Ryoo, Shane, et al.. (2011). Program Optimization Study on a 128-Core GPU. 12 indexed citations

11.

Dotsenko, Yuri, Sara S. Baghsorkhi, Brandon Lloyd, & Naga K. Govindaraju. (2011). Auto-tuning of fast fourier transform on graphics processors. ACM SIGPLAN Notices. 46(8). 257–266. 6 indexed citations

12.

Dotsenko, Yuri, Sara S. Baghsorkhi, Brandon Lloyd, & Naga K. Govindaraju. (2011). Auto-tuning of fast fourier transform on graphics processors. 257–266. 52 indexed citations

13.

Baghsorkhi, Sara S., et al.. (2010). An adaptive performance modeling tool for GPU architectures. ACM SIGPLAN Notices. 45(5). 105–114. 52 indexed citations

14.

Baghsorkhi, Sara S., et al.. (2010). An adaptive performance modeling tool for GPU architectures. 105–114. 209 indexed citations

15.

Ryoo, Shane, Christopher Rodrigues, Sam S. Stone, et al.. (2008). Program optimization space pruning for a multithreaded gpu. 195–204. 207 indexed citations

16.

Ryoo, Shane, Christopher Rodrigues, Sam S. Stone, et al.. (2008). Program optimization carving for GPU computing. Journal of Parallel and Distributed Computing. 68(10). 1389–1401. 86 indexed citations

17.

Ryoo, Shane, Christopher Rodrigues, Sara S. Baghsorkhi, et al.. (2008). Optimization principles and application performance evaluation of a multithreaded GPU using CUDA. 73–82. 614 indexed citations breakdown →

18.

Hwu, Wen‐mei, Shane Ryoo, Sain-Zee Ueng, et al.. (2007). Implicitly Parallel Programming Models for Thousand-Core Microprocessors. Proceedings - ACM IEEE Design Automation Conference. 754–759. 2 indexed citations

19.

Hwu, Wen‐mei, Nacho Navarro, Matthew I. Frank, et al.. (2007). Implicitly parallel programming models for thousand-core microprocessors. Proceedings - ACM IEEE Design Automation Conference. 754–754. 36 indexed citations

20.

Baghsorkhi, Sara S., et al.. (2005). A New Locality Metric and Case Studies for HPCS Benchmarks. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 6 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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