Gurbinder Gill

25 papers A* 2A 5B 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data.
CoRR
Gurbinder Gill, Ritvik Gupta, Denis Lusson, Anand Chandrashekar, Donald Nguyen
2025 — conf
From Search to Reasoning: a Five-Level Rag Capability Framework for Enterprise Data.
AIware
Gurbinder Gill, Ritvik Gupta, Denis Lusson, Anand Chandrashekar, Donald Nguyen
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 A conf
Distributed Training of Embeddings using Graph Analytics.
IPDPS
Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
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 — conf
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.
IISWC
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang
2020 J jnl
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU.
Proc. VLDB Endow.
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, 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 J jnl
Distributed Word2Vec using Graph Analytics Frameworks.
CoRR
Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
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 J jnl
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU.
CoRR
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
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