EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing. - Michael T. Showerman; Jeremy Enos; Craig P. Steffen; Sean Treichler; William Gropp; Wen-mei W. Hwu (Comput. Sci. Eng., 2011)

Legion: expressing locality and independence with logical regions. - Michael Bauer 001; Sean Treichler; Elliott Slaughter; Alex Aiken (SC, 2012)

Language support for dynamic, hierarchical data partitioning. - Sean Treichler; Michael Bauer 001; Alex Aiken (OOPSLA, 2013)

Realm: an event-based low-level runtime for distributed memory architectures. - Sean Treichler; Michael Bauer 001; Alex Aiken (PACT, 2014)

Singe: leveraging warp specialization for high performance on GPUs. - Michael Bauer 001; Sean Treichler; Alex Aiken (PPoPP, 2014)

Structure Slicing: Extending Logical Regions with Fields. - Michael Bauer 001; Sean Treichler; Elliott Slaughter; Alex Aiken (SC, 2014)

Regent: a high-productivity programming language for HPC with logical regions. - Elliott Slaughter; Wonchan Lee; Sean Treichler; Michael Bauer 001; Alex Aiken (SC, 2015)

Towards Asynchronous Many-Task in Situ Data Analysis Using Legion. - Philippe P. Pébay; Janine C. Bennett; David S. Hollman; Sean Treichler; Patrick S. McCormick; Christine Sweeney; Hemanth Kolla; Alex Aiken (IPDPS Workshops, 2016)

Dependent partitioning. - Sean Treichler; Michael Bauer 001; Rahul Sharma 001; Elliott Slaughter; Alex Aiken (OOPSLA, 2016)

Realm: performance portability through composable asynchrony. - Sean Treichler (2016)

Integrating External Resources with a Task-Based Programming Model. - Zhihao Jia; Sean Treichler; Galen M. Shipman; Michael Bauer 001; Noah Watkins; Carlos Maltzahn; Patrick S. McCormick; Alex Aiken (HiPC, 2017)

A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis. - Philippe P. Pébaÿ; Giulio Borghesi; Hemanth Kolla; Janine C. Bennett; Sean Treichler (ISAV@SC, 2017)

Control replication: compiling implicit parallelism to efficient SPMD with logical regions. - Elliott Slaughter; Wonchan Lee; Sean Treichler; Wen Zhang; Michael Bauer 001; Galen M. Shipman; Patrick S. McCormick; Alex Aiken (SC, 2017)

Isometry: A Path-Based Distributed Data Transfer System. - Zhihao Jia; Sean Treichler; Galen M. Shipman; Patrick S. McCormick; Alex Aiken (ICS, 2018)

BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization. - Steve Petruzza; Sean Treichler; Valerio Pascucci; Peer-Timo Bremer (IPDPS, 2018)

Scalable Collectives for Distributed Asynchronous Many-Task Runtimes. - Matthew Whitlock; Hemanth Kolla; Sean Treichler; Philippe P. Pébay; Janine C. Bennett (IPDPS Workshops, 2018)

Exascale deep learning for climate analytics. - 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 (SC, 2018)

Dynamic tracing: memoization of task graphs for dynamic task-based runtimes. - Wonchan Lee; Elliott Slaughter; Michael Bauer 001; Sean Treichler; Todd Warszawski; Michael Garland; Alex Aiken (SC, 2018)

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. - 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 (DLS@SC, 2019)

Exascale Deep Learning for Scientific Inverse Problems. - Nouamane Laanait; Joshua Romero; Junqi Yin; M. Todd Young; Sean Treichler; Vitalii Starchenko; Albina Y. Borisevich; Alex Sergeev; Michael A. Matheson (CoRR, 2019)

Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. - 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 (CoRR, 2019)

Task bench: a parameterized benchmark for evaluating parallel runtime performance. - Elliott Slaughter; Wei Wu 016; Yuankun Fu; Legend Brandenburg; Nicolai Garcia; Wilhem Kautz; Emily Marx; Kaleb S. Morris; Qinglei Cao; George Bosilca; Seema Mirchandaney; Wonchan Lee; et al. (SC, 2020)

Index launches: scalable, flexible representation of parallel task groups. - Rupanshu Soi; Michael Bauer 001; Sean Treichler; Manolis Papadakis; Wonchan Lee; Patrick S. McCormick; Alex Aiken; Elliott Slaughter (SC, 2021)

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. - Joshua Romero; Junqi Yin; Nouamane Laanait; Bing Xie; M. Todd Young; Sean Treichler; Vitalii Starchenko; Albina Y. Borisevich; Alex Sergeev; Michael A. Matheson (NSDI, 2022)

Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence. - Michael Bauer 001; Elliott Slaughter; Sean Treichler; Wonchan Lee; Michael Garland; Alex Aiken (PPoPP, 2023)

Harmonic CUDA: Asynchronous Programming on GPUs. - Jonathan D. Wapman; Sean Treichler; Serban D. Porumbescu; John D. Owens (PMAM@PPoPP, 2023)

Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing. - 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 (ACM Trans. Comput. Syst., 2023)