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Gurbinder Gill

Gurbinder Singh Gill

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2020 – today

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2021
[j4]
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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)
[c15]
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Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: a two-level framework for efficient graph pattern mining. ICS 2021: 378-391
[c14]
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Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi:
Distributed Training of Embeddings using Graph Analytics. IPDPS 2021: 973-983
[i6]
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  - journals/corr/abs-2106-08500
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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
[j3]
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Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. Proc. VLDB Endow. 13(8): 1190-1205 (2020)
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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)
[c13]
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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:
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC 2020: 216-227
[c12]
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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
[c11]
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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
[i5]
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  - journals/corr/abs-2011-03135
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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

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2019
[c10]
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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
[c9]
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Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS 2019: 615-630
[c8]
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Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
DistTC: High Performance Distributed Triangle Counting. HPEC 2019: 1-7
[c7]
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Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS 2019: 439-450
[c6]
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  - conf/ppopp/HoangPDGYPR19
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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
[i4]
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  - journals/corr/abs-1904-07162
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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)
[i3]
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  - journals/corr/abs-1909-03359
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Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi:
Distributed Word2Vec using Graph Analytics Frameworks. CoRR abs/1909.03359 (2019)
[i2]
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  - journals/corr/abs-1911-06969
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Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. CoRR abs/1911.06969 (2019)
[i1]
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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]
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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)
[c5]
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  - conf/europar/GillDHLP18
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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
[c4]
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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
[c3]
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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
2013
[c2]
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  - conf/hipc/GillSMGSD13
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Gurbinder Singh Gill, Vaibhav Saxena, Rashmi Mittal, Thomas George, Yogish Sabharwal, Lalit Dagar:
Evaluation and enhancement of weather application performance on Blue Gene/Q. HiPC 2013: 324-332
2011
[c1]
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  - conf/adcons/GangodkarGGKM11
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Durgaprasad Gangodkar, Sachin Gupta, Gurbinder Singh Gill, Padam Kumar, Ankush Mittal:
Efficient Variable Size Template Matching Using Fast Normalized Cross Correlation on Multicore Processors. ADCONS 2011: 218-227

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