Loc Hoang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Distributed Heterogeneous

Massive Datasets

Top Venues

Proc. VLDB Endow.

Publications

Chang Liu, Loc Hoang, Andrew Stolman, Bo Wu
HiTA: A RAG-Based Educational Platform that Centers Educators in the Instructional Loop. AIED (2) (2024)
Loc Hoang, Rita Brugarolas Brufau, Ke Ding, Bo Wu
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs. CoRR (2023)
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. ACM SIGOPS Oper. Syst. Rev. 55 (1) (2021)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Sandslash: a two-level framework for efficient graph pattern mining. ICS (2021)
Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali
Optimizing Graph Transformer Networks with Graph-based Techniques. CoRR (2021)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. Proc. VLDB Endow. 13 (8) (2020)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. CoRR (2020)
Hochan Lee, David Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
A Study of APIs for Graph Analytics Workloads. IISWC (2020)
Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali
A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. IPDPS (2020)
Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
DistTC: High Performance Distributed Triangle Counting. HPEC (2019)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS (2019)
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS (2019)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. CoRR (2019)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir
Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics. PACT (2019)
Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran
A round-efficient distributed betweenness centrality algorithm. PPoPP (2019)
Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali
An Adaptive Load Balancer For Graph Analytical Applications on GPUs. CoRR (2019)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. Euro-Par (2018)
Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir
A Lightweight Communication Runtime for Distributed Graph Analytics. IPDPS (2018)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali
A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms. Proc. VLDB Endow. 12 (4) (2018)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali
Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. PLDI (2018)