Sean Treichler

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 21

Top Topics

Inverse Problems

Programming Language

Top Venues

IPDPS Workshops

Publications

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 (2023)
Jonathan D. Wapman, Sean Treichler, Serban D. Porumbescu, John D. Owens
Harmonic CUDA: Asynchronous Programming on GPUs. PMAM@PPoPP (2023)
Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken
Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. PPoPP (2023)
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)
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)
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)
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)
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 (2019)
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 (2019)
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 (2019)
Zhihao Jia, Sean Treichler, Galen M. Shipman, Patrick S. McCormick, Alex Aiken
Isometry: A Path-Based Distributed Data Transfer System. ICS (2018)
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)
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 (2018)
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. IPDPS (2018)
Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe P. Pébay, Janine C. Bennett
Scalable Collectives for Distributed Asynchronous Many-Task Runtimes. IPDPS Workshops (2018)
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)
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)
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)
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)
Sean Treichler, Michael Bauer, Rahul Sharma, Elliott Slaughter, Alex Aiken
Dependent partitioning. OOPSLA (2016)
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)
Elliott Slaughter, Wonchan Lee, Sean Treichler, Michael Bauer, Alex Aiken
Regent: a high-productivity programming language for HPC with logical regions. SC (2015)
Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken
Structure Slicing: Extending Logical Regions with Fields. SC (2014)
Michael Bauer, Sean Treichler, Alex Aiken
Singe: leveraging warp specialization for high performance on GPUs. PPOPP (2014)
Sean Treichler, Michael Bauer, Alex Aiken
Realm: an event-based low-level runtime for distributed memory architectures. PACT (2014)
Sean Treichler, Michael Bauer, Alex Aiken
Language support for dynamic, hierarchical data partitioning. OOPSLA (2013)
Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken
Legion: expressing locality and independence with logical regions. SC (2012)
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) (2011)