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Alok Tripathy
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2020 – today
- 2024
- [c9]Ujjaini Mukhopadhyay
, Alok Tripathy
Sparsity-Aware Communication for Distributed Graph Neural Network Training. ICPP 2024: 117-126 - [c8]Alok Tripathy, Katherine A. Yelick, Aydin Buluç:
Distributed Matrix-Based Sampling for Graph Neural Network Training. MLSys 2024 - 2023
- [i3]Alok Tripathy, Katherine A. Yelick
Distributed Matrix-Based Sampling for Graph Neural Network Training. CoRR abs/2311.02909 (2023) - 2021
- [c7]Oguz Selvitopi, Benjamin Brock, Israt Nisa, Alok Tripathy, Katherine A. Yelick
Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. ICS 2021: 431-442 - [i2]Alok Tripathy, Oded Green:
Scalable Hash Table for NUMA Systems. CoRR abs/2104.00792 (2021) - 2020
- [c6]Alok Tripathy, Oded Green:
Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path. IEEE BigData 2020: 3015-3024 - [c5]Alok Tripathy, Katherine A. Yelick
Reducing communication in graph neural network training. SC 2020: 70 - [i1]Alok Tripathy, Katherine A. Yelick, Aydin Buluç:
Reducing Communication in Graph Neural Network Training. CoRR abs/2005.03300 (2020)
2010 – 2019
- 2019
- [c4]James Fox, Alok Tripathy, Oded Green:
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning. HPEC 2019: 1-7 - 2018
- [c3]Alok Tripathy, Fred Hohman, Duen Horng Chau
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. IEEE BigData 2018: 1134-1141 - [c2]Oded Green, James Fox, Alex Watkins, Alok Tripathy, Kasimir Gabert, Euna Kim, Xiaojing An, Kumar Aatish, David A. Bader
Logarithmic Radix Binning and Vectorized Triangle Counting. HPEC 2018: 1-7 - [c1]Alok Tripathy, Oded Green:
Scaling Betweenness Centrality in Dynamic Graphs. HPEC 2018: 1-7
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