Alok Tripathy

Orcid: 0009-0001-6755-3895

According to our database1, Alok Tripathy authored at least 10 papers between 2018 and 2024.

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Bibliography

2024
Distributed Matrix-Based Sampling for Graph Neural Network Training.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Sparsity-Aware Communication for Distributed Graph Neural Network Training.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

2021
Scalable Hash Table for NUMA Systems.
CoRR, 2021

Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020
Reducing communication in graph neural network training.
Proceedings of the International Conference for High Performance Computing, 2020

Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018
Scaling Betweenness Centrality in Dynamic Graphs.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Logarithmic Radix Binning and Vectorized Triangle Counting.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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