Loc Hoang

22 papers A* 2A 4B 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses.
CoRR
Chang Liu, Loc Hoang, Andrew Stolman, René F. Kizilcec, Bo Wu
2025 — conf
Understanding Student Engagement with Large Language Model-Powered Course Assistants.
AIED (6)
Chang Liu, Loc Hoang, Andrew Stolman, René F. Kizilcec, Bo Wu
2024 — conf
HiTA: A RAG-Based Educational Platform that Centers Educators in the Instructional Loop.
AIED (2)
Chang Liu, Loc Hoang, Andrew Stolman, Bo Wu
2023 J jnl
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs.
CoRR
Loc Hoang, Rita Brugarolas Brufau, Ke Ding, Bo Wu
2021 J jnl
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics.
ACM SIGOPS Oper. Syst. Rev.
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2021 J jnl
Optimizing Graph Transformer Networks with Graph-based Techniques.
CoRR
Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali
2021 A conf
Sandslash: a two-level framework for efficient graph pattern mining.
ICS
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
2020 — conf
A Study of APIs for Graph Analytics Workloads.
IISWC
Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
2020 A conf
A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs.
IPDPS
Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali
2020 J jnl
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining.
CoRR
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
2020 J jnl
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory.
Proc. VLDB Endow.
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
2019 B conf
A round-efficient distributed betweenness centrality algorithm.
PPoPP
Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran
2019 J jnl
An Adaptive Load Balancer For Graph Analytical Applications on GPUs.
CoRR
Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali
2019 A conf
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics.
IPDPS
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2019 — conf
DistTC: High Performance Distributed Triangle Counting.
HPEC
Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2019 B conf
Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics.
PACT
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir
2019 A* conf
Phoenix: A Substrate for Resilient Distributed Graph Analytics.
ASPLOS
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
2019 J jnl
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory.
CoRR
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
2018 A conf
A Lightweight Communication Runtime for Distributed Graph Analytics.
IPDPS
Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir
2018 J jnl
A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms.
Proc. VLDB Endow.
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali
2018 — conf
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms.
Euro-Par
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali
2018 A* conf
Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics.
PLDI
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali