Sean Treichler

31 papers A 12B 3Misc 2Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
KDRSolvers: Scalable, Flexible, Task-Oriented Krylov Solvers.
SC Workshops
David Kai Zhang, Rohan Yadav, Alex Aiken, Fredrik Kjolstad, Sean Treichler
2025 J jnl
On the Duality of Task and Actor Programming Models.
CoRR
Rohan Yadav, Joseph Guman, Sean Treichler, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer
2023 — conf
Harmonic CUDA: Asynchronous Programming on GPUs.
PMAM@PPoPP
Jonathan D. Wapman, Sean Treichler, Serban D. Porumbescu, John D. Owens
2023 J jnl
Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing.
ACM Trans. Comput. Syst.
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
2023 B conf
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence.
PPoPP
Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken
2022 Misc conf
Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks.
NSDI
Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson
2021 A conf
Index launches: scalable, flexible representation of parallel task groups.
SC
Rupanshu Soi, Michael Bauer, Sean Treichler, Manolis Papadakis, Wonchan Lee, Patrick S. McCormick, Alex Aiken, Elliott Slaughter
2020 A conf
Task bench: a parameterized benchmark for evaluating parallel runtime performance.
SC
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
2019 J jnl
Exascale Deep Learning for Scientific Inverse Problems.
CoRR
Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson
2019 — conf
Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.
DLS@SC
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
2019 J jnl
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs.
CoRR
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
2019 J jnl
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance.
CoRR
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
2018 A conf
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization.
IPDPS
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
2018 A conf
Dynamic tracing: memoization of task graphs for dynamic task-based runtimes.
SC
Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken
2018 J jnl
Exascale Deep Learning for Climate Analytics.
CoRR
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
2018 A conf
Exascale deep learning for climate analytics.
SC
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
2018 A conf
Isometry: A Path-Based Distributed Data Transfer System.
ICS
Zhihao Jia, Sean Treichler, Galen M. Shipman, Patrick S. McCormick, Alex Aiken
2018 — conf
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes.
IPDPS Workshops
Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe P. Pébay, Janine C. Bennett
2017 — conf
A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis.
ISAV@SC
Philippe P. Pébaÿ, Giulio Borghesi, Hemanth Kolla, Janine C. Bennett, Sean Treichler
2017 A conf
Control replication: compiling implicit parallelism to efficient SPMD with logical regions.
SC
Elliott Slaughter, Wonchan Lee, Sean Treichler, Wen Zhang, Michael Bauer, Galen M. Shipman, Patrick S. McCormick, Alex Aiken
2017 Misc conf
Integrating External Resources with a Task-Based Programming Model.
HiPC
Zhihao Jia, Sean Treichler, Galen M. Shipman, Michael Bauer, Noah Watkins, Carlos Maltzahn, Patrick S. McCormick, Alex Aiken
2016 A conf
Dependent partitioning.
OOPSLA
Sean Treichler, Michael Bauer, Rahul Sharma, Elliott Slaughter, Alex Aiken
2016 — —
Realm: performance portability through composable asynchrony.
Sean Treichler
2016 — conf
Towards Asynchronous Many-Task in Situ Data Analysis Using Legion.
IPDPS Workshops
Philippe P. Pébay, Janine C. Bennett, David S. Hollman, Sean Treichler, Patrick S. McCormick, Christine Sweeney, Hemanth Kolla, Alex Aiken
2015 A conf
Regent: a high-productivity programming language for HPC with logical regions.
SC
Elliott Slaughter, Wonchan Lee, Sean Treichler, Michael Bauer, Alex Aiken
2014 B conf
Realm: an event-based low-level runtime for distributed memory architectures.
PACT
Sean Treichler, Michael Bauer, Alex Aiken
2014 B conf
Singe: leveraging warp specialization for high performance on GPUs.
PPoPP
Michael Bauer, Sean Treichler, Alex Aiken
2014 A conf
Structure Slicing: Extending Logical Regions with Fields.
SC
Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken
2013 A conf
Language support for dynamic, hierarchical data partitioning.
OOPSLA
Sean Treichler, Michael Bauer, Alex Aiken
2012 A conf
Legion: expressing locality and independence with logical regions.
SC
Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken
2011 J jnl
EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing.
Comput. Sci. Eng.
Michael T. Showerman, Jeremy Enos, Craig P. Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu