scalable parallel algorithms, parallel graph processing for static, dynamic, and streaming graphs.

email: laxman [at] umd.edu

CV --
GitHub --
Hobbies

I am an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, and a research scientist at Google Research with the Graph Mining team.

I obtained my Ph.D. from Carnegie Mellon University, where I was advised by Guy Blelloch, and was a postdoc at MIT working with Julian Shun.

I am broadly interested in efficient parallel algorithms, e.g., for
parallel clustering and parallel graph processing. I am also
interested in models of parallel computation motivated by emerging
hardware and exploring these models theoretically and practically.

- S24: CMSC858N, Scalable Parallel Algorithms and Data Structures
- F23: CMSC451: Design and Analysis of Computer Algorithms
- S23: CMSC858N, Scalable Parallel Algorithms and Data Structures
- F22: CMSC451: Design and Analysis of Computer Algorithms

Laxman Dhulipala, Xiaojun Dong, Kishen Gowda, and Yan Gu

To appear at SPAA'24

Mohammad Hossein Bateni, Laxman Dhulipala, Kishen Gowda, D Ellis Hershkowitz, Rajesh Jarayam and Jakub Łącki

To appear at ICALP'24

[arxiv]

Magdalen Dobson, Zheqi Shen, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Harsha Vardhan Simhadri, and Yihan Sun

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2024.

[arxiv]

Xiaojun Dong, Laxman Dhulipala, Yan Gu, and Yihan Sun

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2024.

[arxiv]

Laxman Dhulipala, Jason Lee, Jakub Łącki, and Vahab Mirrokni

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.

[arxiv]

Jessica Shi, Laxman Dhulipala, and Julian Shun

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.

[arxiv]

Pattara Sukprasert, Quanquan C. Liu, Laxman Dhulipala, and Julian Shun

Proceedings of the SIAM Meeting on Algorithm Engineering and Experiments (ALENEX), 2024.

[pdf]

Jamshed Khan, Tobias Rubel, Laxman Dhulipala, Erin K. Molloy, and Rob Patro:

Workshop on Algorithms in Bioinformatics (WABI), 2023.

[pdf]

Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey and Phillip B. Gibbons

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2023.

[pdf] [arxiv]

Xiaojun Dong, Yunshu Wu, Zhongqi Wang, Laxman Dhulipala, Yan Gu, and Yihan Sun

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2023.

[arxiv]

Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, and Chi Wang

IEEE Transactions on Knowledge and Data Engineering, 2023.

[arxiv]

Laxman Dhulipala, David Eisenstat, Jakub Łącki, Vahab Mirronki, and Jessica Shi

Conference on Neural Information Processing Systems (NeurIPS), 2022.

[arxiv]

Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey and Phillip B. Gibbons

Proceedings of the VLDB Endowment, 2022.

Best Paper Runner Up

[arxiv]

Laxman Dhulipala, Quanquan C. Liu, Sofya Raskhodnikova, Jessica Shi, Julian Shun, and Shangdi Yu

Proceedings of the IEEE Symposium on Foundations of Computer Science (FOCS), 2022.

[arxiv]

Yiqiu Wang, Rahul Yesantharao, Shangdi Yu, Laxman Dhulipala, Yan Gu, and Julian Shun

Proceedings of the European Symposium on Algorithms (ESA), 2022.

[pdf]

Quanquan Liu, Jessica Shi, Shangdi Yu, Laxman Dhulipala, and Julian Shun

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2022.

Best Paper Award

[pdf] [arxiv]

Jessica Shi, Laxman Dhulipala, and Julian Shun

Proceedings of the VLDB Endowment, 2022.

[pdf] [code]

Laxman Dhulipala, Guy E. Blelloch, Yan Gu, and Yihan Sun

ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2022.

[pdf] [arxiv]

Shangdi Yu, Yiqiu Wang, Yan Gu, Laxman Dhulipala, and Julian Shun

To appear in Proceedings of the VLDB Endowment, 2022.

[pdf] [code]

Daniel Anderson, Guy E. Blelloch, Laxman Dhulipala, Magdalen Dobson, and Yihan Sun

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2022.

[pdf] [code]

Yiqiu Wang, Shangdi Yu, Laxman Dhulipala, Yan Gu, and Julian Shun

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2022.

[pdf] [arxiv]

Laxman Dhulipala, David Eisenstat, Jakub Łącki, Vahab Mirronki, and Jessica Shi

Proceedings of the International Conference on Machine Learning (ICML), 2021.

[pdf] [arxiv] [code]

Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Łącki, and Vahab Mirrokni

Proceedings of the VLDB Endowment (PVLDB), 2021.

[pdf] [arxiv] [code]

Jessica Shi, Laxman Dhulipala, and Julian Shun

Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms (ACDA), 2021.

[pdf]

Hongbo Kang, Phillip B. Gibbons, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, and Charles McGuffey

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2021.

[pdf] [code]

Yiqiu Wang, Shangdi Yu, Laxman Dhulipala, Yan Gu, and Julian Shun

ACM SIGOPS Operating Systems Review, 2021

[pdf] [code]

Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, and Chi Wang

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021.

[pdf] [arxiv] [code]

Tom Tseng, Laxman Dhulipala, and Julian Shun

Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021.

[pdf] [arxiv] [code]

Laxman Dhulipala, Changwan Hong, and Julian Shun

Proceedings of the VLDB Endowment (PVLDB), 2021.

[pdf] [arxiv]

Laxman Dhulipala, Quanquan Liu, Julian Shun, and Shangdi Yu

Proceedings of the SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS), 2021.

[pdf]

Guy Blelloch, Laxman Dhulipala, Phillip Gibbons, Yan Gu, Charles McGuffey, and Julian Shun

Proceedings of the SIAM Symposium on Algorithmic Principles of Computer Systems (APOCS), 2021.

[pdf] [arxiv] [Google AI Blog Post]

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, Vahab Mirrokni, and Warren Schudy

Proceedings of the VLDB Endowment (PVLDB), 2020. (To be presented at VLDB'21)

[pdf] [arxiv]

Changwan Hong, Laxman Dhulipala, and Julian Shun

Proceedings of International Conference on Parallel Architectures and Compilation Techniques (PACT), 2020.

[pdf] [arxiv] [code]

Laxman Dhulipala, Charles McGuffey, Hongbo Kang, Yan Gu, Guy Blelloch, Phillip Gibbons, and Julian Shun

Proceedings of the VLDB Endowment (PVLDB), 2020.

Memorable Paper Award Finalist at the Non-Volatile Memories Workshop (NVMW’20)

[pdf] [code]

Laxman Dhulipala, Jessica Shi, Tom Tseng, Guy E. Blelloch, and Julian Shun

Proceedings of the Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2020

[pdf] [code]

Guy E. Blelloch, Daniel Anderson, and Laxman Dhulipala

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2020.

[pdf] [arxiv] [code]

Yunming Zhang, Ajay Brahmakshatriya, Xinyi Chen, Laxman Dhulipala, Shoaib Kamil, Saman Amarasinghe, and Julian Shun

Proceedings of the International Symposium on Code Generation and Optimization (CGO), 2020.

[pdf] [arxiv]

Laxman Dhulipala, David Durfee, Janardhan Kulkarni, Richard Peng, Saurabh Sawlani, and Xiaorui Sun

Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA), 2020.

[pdf] [arxiv]

Umut Acar, Daniel Anderson, Guy Blelloch, Laxman Dhulipala, and Sam Westrick

Proceedings of the European Symposium on Algorithms (ESA), 2020.

[pdf] [arxiv]

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, and Vahab Mirrokni

Proceedings of the IEEE Symposium on Foundations of Computer Science (FOCS), 2019.

[pdf] [arxiv] [code]

Laxman Dhulipala, Guy Blelloch, and Julian Shun

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2019.

Distinguished Paper Award

[pdf] [arxiv]

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari, Jakub Łącki, Vahab Mirrokni, and Warren Schudy

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2019.

Invited to Special Issue

[pdf] [arxiv]

Umut Acar, Daniel Anderson, Guy Blelloch, and Laxman Dhulipala

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2019.

[pdf] [arxiv] [code]

Thomas Tseng, Laxman Dhulipala, and Guy Blelloch

Proceedings of the SIAM Meeting on Algorithm Engineering and Experiments (ALENEX), 2019.

[pdf] [arxiv] [code]

Laxman Dhulipala, Guy Blelloch, and Julian Shun

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2018.

Best Paper Award

Invited to Special Issue

[pdf] [code]

Laxman Dhulipala, Guy Blelloch, and Julian Shun

Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2017.

[pdf] [arxiv]

Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, and Alon Shalita

Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD), 2016.