Alok Tripathy

According to our database, Alok Tripathy authored at least 9 papers between 2018 and 2023.

Collaborative distances:

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

2023

Distributed Matrix-Based Sampling for Graph Neural Network Training.

Alok Tripathy, Katherine A. Yelick, Aydin Buluç

CoRR, 2023

2021

Scalable Hash Table for NUMA Systems.

Alok Tripathy, Oded Green

CoRR, 2021

Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication.

Oguz Selvitopi, Benjamin Brock, Israt Nisa, Alok Tripathy, Katherine A. Yelick, Aydin Buluç

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

Reducing communication in graph neural network training.

Alok Tripathy, Katherine A. Yelick, Aydin Buluç

Proceedings of the International Conference for High Performance Computing, 2020

Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path.

Alok Tripathy, Oded Green

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Improving Scheduling for Irregular Applications with Logarithmic Radix Binning.

James Fox, Alok Tripathy, Oded Green

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018

Scaling Betweenness Centrality in Dynamic Graphs.

Alok Tripathy, Oded Green

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Logarithmic Radix Binning and Vectorized Triangle Counting.

Oded Green, James Fox, Alex Watkins, Alok Tripathy, Kasimir Gabert, Euna Kim, Xiaojing An, Kumar Aatish, David A. Bader

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure.

Alok Tripathy, Fred Hohman, Duen Horng Chau, Oded Green

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