Loc Hoang

According to our database, Loc Hoang authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs.

Loc Hoang, Rita Brugarolas Brufau, Ke Ding, Bo Wu

CoRR, 2023

2021

CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics.

Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali

ACM SIGOPS Oper. Syst. Rev., 2021

Optimizing Graph Transformer Networks with Graph-based Techniques.

Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali

CoRR, 2021

Sandslash: a two-level framework for efficient graph pattern mining.

Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali

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

2020

Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory.

Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali

Proc. VLDB Endow., 2020

A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs.

Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Study of APIs for Graph Analytics Workloads.

Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019

An Adaptive Load Balancer For Graph Analytical Applications on GPUs.

Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali

CoRR, 2019

A round-efficient distributed betweenness centrality algorithm.

Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

DistTC: High Performance Distributed Triangle Counting.

Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali

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

Phoenix: A Substrate for Resilient Distributed Graph Analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms.

Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali

Proc. VLDB Endow., 2018

Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

A Lightweight Communication Runtime for Distributed Graph Analytics.

Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms.

Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali

Proceedings of the Euro-Par 2018: Parallel Processing, 2018