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Sean Treichler

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2020 – today

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2023
[j2]
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Michael Pellauer, Jason Clemons, Vignesh Balaji, Neal Clayton Crago, Aamer Jaleel, Donghyuk Lee, Mike O'Connor, Anghsuman Parashar, Sean Treichler, Po-An Tsai, Stephen W. Keckler, Joel S. Emer:
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. ACM Trans. Comput. Syst. 41: 4:1-4:30 (2023)
[c22]
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Jonathan D. Wapman, Sean Treichler, Serban D. Porumbescu, John D. Owens:
Harmonic CUDA: Asynchronous Programming on GPUs. PMAM@PPoPP 2023: 39-49
[c21]
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Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken:
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. PPoPP 2023: 218-231
2022
[c20]
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  - conf/nsdi/RomeroYLXYTSBSM22
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Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson:
Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. NSDI 2022: 1027-1040
2021
[c19]
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  - conf/sc/SoiBTPLMAS21
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Rupanshu Soi, Michael Bauer, Sean Treichler, Manolis Papadakis, Wonchan Lee, Patrick S. McCormick, Alex Aiken, Elliott Slaughter:
Index launches: scalable, flexible representation of parallel task groups. SC 2021: 66
2020
[c18]
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  - conf/sc/SlaughterWFBGKM20
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Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Qinglei Cao, George Bosilca, Seema Mirchandaney, Wonchan Lee, Sean Treichler, Patrick S. McCormick, Alex Aiken:
Task bench: a parameterized benchmark for evaluating parallel runtime performance. SC 2020: 62

2010 – 2019

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2019
[c17]
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  - conf/sc/YangPKTKFBRCTH19
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Liu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston:
Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. DLS@SC 2019: 1-11
[i4]
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  - journals/corr/abs-1908-05790
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Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Wonchan Lee, Qinglei Cao, George Bosilca, Seema Mirchandaney, Sean Treichler, Patrick S. McCormick, Alex Aiken:
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance. CoRR abs/1908.05790 (2019)
[i3]
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  - journals/corr/abs-1909-11150
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Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson:
Exascale Deep Learning for Scientific Inverse Problems. CoRR abs/1909.11150 (2019)
[i2]
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  - journals/corr/abs-1910-13444
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Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston, Prabhat, George E. Karniadakis:
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. CoRR abs/1910.13444 (2019)
2018
[c16]
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  - conf/ics/JiaTSMA18
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Zhihao Jia, Sean Treichler, Galen M. Shipman, Patrick S. McCormick, Alex Aiken:
Isometry: A Path-Based Distributed Data Transfer System. ICS 2018: 295-306
[c15]
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  - conf/ipps/WhitlockKTPB18
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Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe P. Pébay, Janine C. Bennett:
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes. IPDPS Workshops 2018: 436-445
[c14]
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  - conf/ipps/PetruzzaTPB18
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Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer:
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. IPDPS 2018: 463-473
[c13]
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  - conf/sc/LeeSBTWGA18
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Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken:
Dynamic tracing: memoization of task graphs for dynamic task-based runtimes. SC 2018: 34:1-34:13
[c12]
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Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale deep learning for climate analytics. SC 2018: 51:1-51:12
[i1]
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  - journals/corr/abs-1810-01993
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Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale Deep Learning for Climate Analytics. CoRR abs/1810.01993 (2018)
2017
[c11]
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Zhihao Jia, Sean Treichler, Galen M. Shipman, Michael Bauer, Noah Watkins, Carlos Maltzahn, Patrick S. McCormick, Alex Aiken:
Integrating External Resources with a Task-Based Programming Model. HiPC 2017: 307-316
[c10]
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Elliott Slaughter, Wonchan Lee, Sean Treichler, Wen Zhang, Michael Bauer, Galen M. Shipman, Patrick S. McCormick, Alex Aiken:
Control replication: compiling implicit parallelism to efficient SPMD with logical regions. SC 2017: 14
[c9]
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  - conf/sc/PebayBKBT17
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Philippe P. Pébaÿ, Giulio Borghesi, Hemanth Kolla, Janine C. Bennett, Sean Treichler:
A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis. ISAV@SC 2017: 27-31
2016
[b1]
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  - phd/us/Treichler16
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Sean Treichler:
Realm: performance portability through composable asynchrony. Stanford University, USA, 2016
[c8]
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Philippe P. Pébay, Janine C. Bennett, David S. Hollman, Sean Treichler, Patrick S. McCormick, Christine Sweeney, Hemanth Kolla, Alex Aiken:
Towards Asynchronous Many-Task in Situ Data Analysis Using Legion. IPDPS Workshops 2016: 1033-1037
[c7]
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  - conf/oopsla/TreichlerBSSA16
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Sean Treichler, Michael Bauer, Rahul Sharma, Elliott Slaughter, Alex Aiken:
Dependent partitioning. OOPSLA 2016: 344-358
2015
[c6]
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  - conf/sc/SlaughterLTBA15
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Elliott Slaughter, Wonchan Lee, Sean Treichler, Michael Bauer, Alex Aiken:
Regent: a high-productivity programming language for HPC with logical regions. SC 2015: 81:1-81:12
2014
[c5]
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  - conf/IEEEpact/TreichlerBA14
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Sean Treichler, Michael Bauer, Alex Aiken:
Realm: an event-based low-level runtime for distributed memory architectures. PACT 2014: 263-276
[c4]
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  - conf/ppopp/BauerTA14
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Michael Bauer, Sean Treichler, Alex Aiken:
Singe: leveraging warp specialization for high performance on GPUs. PPoPP 2014: 119-130
[c3]
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Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken:
Structure Slicing: Extending Logical Regions with Fields. SC 2014: 845-856
2013
[c2]
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  - conf/oopsla/TreichlerBA13
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Sean Treichler, Michael Bauer, Alex Aiken:
Language support for dynamic, hierarchical data partitioning. OOPSLA 2013: 495-514
2012
[c1]
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  - conf/sc/BauerTSA12
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Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken:
Legion: expressing locality and independence with logical regions. SC 2012: 66
2011
[j1]
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  - journals/cse/ShowermanESTGH11
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Michael T. Showerman, Jeremy Enos, Craig P. Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu:
EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing. Comput. Sci. Eng. 13(2): 83-87 (2011)

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