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Sri Raj Paul
Sri Raj Paul
Postdoctoral Fellow, Georgia Tech
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Enabling resilience in asynchronous many-task programming models
SR Paul, A Hayashi, N Slattengren, H Kolla, M Whitlock, S Bak, ...
Euro-Par 2019: Parallel Processing: 25th International Conference on …, 2019
132019
GPUIterator: Bridging the gap between Chapel and GPU platforms
A Hayashi, SR Paul, V Sarkar
Proceedings of the ACM SIGPLAN 6th on Chapel Implementers and Users Workshop …, 2019
112019
Exploring a multi-resolution GPU programming model for Chapel
A Hayashi, SR Paul, V Sarkar
2020 IEEE International Parallel and Distributed Processing Symposium …, 2020
62020
Chapel-on-X: Exploring Tasking Runtimes for PGAS Languages
A Hayashi, SR Paul, M Grossman, J Shirako, V Sarkar
Proceedings of the Third International Workshop on Extreme Scale Programming …, 2017
62017
Design and verification of distributed phasers
K Murthy, SR Paul, KS Meel, T Cogumbreiro, J Mellor-Crummey
Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016
62016
Performance analysis and optimization of a hybrid seismic imaging application
SR Paul, M Araya-Polo, J Mellor-Crummey, D Hohl
Procedia Computer Science 80, 8-18, 2016
62016
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing
J Shirako, A Hayashi, SR Paul, A Tumanov, V Sarkar
European Conference on Parallel Processing, 350-366, 2022
52022
A productive and scalable actor-based programming system for pgas applications
SR Paul, A Hayashi, K Chen, V Sarkar
International Conference on Computational Science, 233-247, 2022
42022
A Fine-grained Asynchronous Bulk Synchronous parallelism model for PGAS applications
SR Paul, A Hayashi, K Chen, Y Elmougy, V Sarkar
Journal of Computational Science 69, 102014, 2023
32023
GPUAPI: Multi-level Chapel Runtime API for GPUs
A Hayashi, SR Paul, V Sarkar
The 8th Annual Chapel Implementers and Users Workshop (CHIUW), 2021
32021
A unified runtime for pgas and event-driven programming
SR Paul, K Chen, A Hayashi, M Grossman, V Sarkar, J DeVinney, ...
2018 IEEE/ACM 4th International Workshop on Extreme Scale Programming Models …, 2018
32018
FY18 ASC P&EM L2 Milestone 6362: Local Failure Local Recovery (LFLR) Resiliency for Asynchronous Many Task (AMT) Programming and Execution Models: Executive Summary.
K Teranishi, K Teranishi, RL Clay
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2018
3*2018
A Multi-Level Platform-Independent GPU API for High-Level Programming Models
A Hayashi, SR Paul, V Sarkar
International Conference on High Performance Computing, 90-107, 2022
22022
Integrating inter-node communication with a resilient asynchronous many-task runtime system
SR Paul, A Hayashi, M Whitlock, S Bak, K Teranishi, J Mayo, M Grossman, ...
2020 Workshop on Exascale MPI (ExaMPI), 41-51, 2020
22020
Accelerating CHAMPS on GPUs
A Hayashi, SR Paul, V Sarkar
The 9th Annual Chapel Implementers and Users Workshop (CHIUW), 2022
12022
Enabling a Data-Centric Model on the Open Community Runtime
SR Paul, V Sarkar, B Seshasayee, R Cledat, V Cave
The International Conference for High Performance Computing, Networking …, 2016
12016
A Cooperative Compiler and Runtime Checkpoint/Restart Approach for Kokkos.
A Hayashi, M Whitlock, SR Paul, N Morales, K Teranishi, V Sarkar
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
A Scalable Actor-based Programming System for PGAS Runtimes
SR Paul, A Hayashi, K Chen, V Sarkar
arXiv preprint arXiv:2107.05516, 2021
2021
Kokkos-HClib: enabling high-performance and resiliency for HPC systems.
A Hayashi, SR Paul, MJ Whitlock, J Miles, K Teranishi, V Sarkar
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2020
2020
Composing Asynchrony Communication and Resilience.
SR Paul, A Hayashi, NL Slattengren, H Kolla, S Bak, MJ Whitlock, J Mayo, ...
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2020
2020
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