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2020 – today
- 2024
[c12]Chang Liu
, Loc Hoang, Andrew Stolman, Bo Wu:
HiTA: A RAG-Based Educational Platform that Centers Educators in the Instructional Loop. AIED (2) 2024: 405-412- 2023
- [i5]Loc Hoang, Rita Brugarolas Brufau, Ke Ding, Bo Wu:
BatchGNN: Efficient CPU-Based Distributed GNN Training on Very Large Graphs. CoRR abs/2306.13814 (2023) - 2021
- [j3]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): 47-60 (2021) - [c11]Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: a two-level framework for efficient graph pattern mining. ICS 2021: 378-391 - [i4]Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali:
Optimizing Graph Transformer Networks with Graph-based Techniques. CoRR abs/2106.08500 (2021) - 2020
- [j2]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): 1304-1318 (2020) - [c10]Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali:
A Study of APIs for Graph Analytics Workloads. IISWC 2020: 228-239 - [c9]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: 84-94 - [i3]Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. CoRR abs/2011.03135 (2020)
2010 – 2019
- 2019
- [c8]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: 15-28 - [c7]Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS 2019: 615-630 - [c6]Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
DistTC: High Performance Distributed Triangle Counting. HPEC 2019: 1-7 - [c5]Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS 2019: 439-450 - [c4]Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran:
A round-efficient distributed betweenness centrality algorithm. PPoPP 2019: 272-286 - [i2]Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali:
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. CoRR abs/1904.07162 (2019) - [i1]Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali:
An Adaptive Load Balancer For Graph Analytical Applications on GPUs. CoRR abs/1911.09135 (2019) - 2018
- [j1]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): 321-334 (2018) - [c3]Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali:
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. Euro-Par 2018: 249-264 - [c2]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: 980-989 - [c1]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: 752-768
Coauthor Index
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last updated on 2024-08-10 00:30 CEST by the dblp team
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