Anil Gaihre

According to our database, Anil Gaihre authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ezLDA: Efficient and Scalable LDA on GPUs.

Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu

IEEE Access, 2023

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.

Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

2022

gSoFa: Scalable Sparse Symbolic LU Factorization on GPUs.

Anil Gaihre, Xiaoye Sherry Li, Hang Liu

IEEE Trans. Parallel Distributed Syst., 2022

2021

Dr. Top-k: delegate-centric Top-k on GPUs.

Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2021

2020

GSoFa: Scalable Sparse LU Symbolic Factorization on GPUs.

Anil Gaihre, Xiaoye S. Li, Hang Liu

CoRR, 2020

2019

XBFS: eXploring Runtime Optimizations for Breadth-First Search on GPUs.

Anil Gaihre, Zhenlin Wu, Fan Yao, Hang Liu

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

Deanonymizing Cryptocurrency With Graph Learning: The Promises and Challenges.

Anil Gaihre, Santosh Pandey, Hang Liu

Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018

Do Bitcoin Users Really Care About Anonymity? An Analysis of the Bitcoin Transaction Graph.

Anil Gaihre, Yan Luo, Hang Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018