Alok Tripathy

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Betweenness Centrality

Matrix Multiplication

Top Venues

Publications

Alok Tripathy, Katherine A. Yelick, Aydin Buluç
Distributed Matrix-Based Sampling for Graph Neural Network Training. MLSys (2024)
Ujjaini Mukhopadhyay, Alok Tripathy, Oguz Selvitopi, Katherine A. Yelick, Aydin Buluç
Sparsity-Aware Communication for Distributed Graph Neural Network Training. ICPP (2024)
Alok Tripathy, Katherine A. Yelick, Aydin Buluç
Distributed Matrix-Based Sampling for Graph Neural Network Training. CoRR (2023)
Alok Tripathy, Oded Green
Scalable Hash Table for NUMA Systems. CoRR (2021)
Oguz Selvitopi, Benjamin Brock, Israt Nisa, Alok Tripathy, Katherine A. Yelick, Aydin Buluç
Distributed-memory parallel algorithms for sparse times tall-skinny-dense matrix multiplication. ICS (2021)
Alok Tripathy, Katherine A. Yelick, Aydin Buluç
Reducing communication in graph neural network training. SC (2020)
Alok Tripathy, Oded Green
Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest Path. IEEE BigData (2020)
Alok Tripathy, Katherine A. Yelick, Aydin Buluç
Reducing Communication in Graph Neural Network Training. CoRR (2020)
James Fox, Alok Tripathy, Oded Green
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning. HPEC (2019)
Alok Tripathy, Fred Hohman, Duen Horng Chau, Oded Green
Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure. IEEE BigData (2018)
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)
Alok Tripathy, Oded Green
Scaling Betweenness Centrality in Dynamic Graphs. HPEC (2018)