Publications

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

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(2023). Distributed Matrix-Based Sampling for Graph Neural Network Training. Proceedings of Machine Learning and Systems, arXiv:2311.02909.

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(2021). Distributed-Memory Parallel Algorithms for Sparse Times Tall-Skinny-Dense Matrix Multiplication. ACM Proceedings of the ACM International Conference on Supercomputing (ICS), 2021.

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(2021). Scalable Hash Table for NUMA Systems. arXiv:2104.00792.

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(2020). Accurately and Efficiently Estimating Dynamic Point-to-Point Shortest Path. IEEE BigGraphs Workshop at International Conference on Big Data (BigData) 2020.

(2020). Reducing Communication in Graph Neural Network Training. ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, arXiv:2005.03300.

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(2019). Improving Scheduling for Irregular Applications with Logarithmic Radix Binning. IEEE High Performance Extreme Computing (HPEC) 2019.

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

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(2018). Scaling Betweenness Centrality in Dynamic Graphs. IEEE High Performance Extreme Computing (HPEC) 2018.

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(2018). Logarithmic Radix Binning and Vectorized Triangle Counting. IEEE High Performance Extreme Computing (HPEC) 2018.

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