| 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 | 13 | 2019 |
| 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 | 11 | 2019 |
| Exploring a multi-resolution GPU programming model for Chapel A Hayashi, SR Paul, V Sarkar 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 6 | 2020 |
| 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 | 6 | 2017 |
| 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 | 6 | 2016 |
| 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 | 6 | 2016 |
| 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 | 5 | 2022 |
| 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 | 5 | 2022 |
| 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 | 4 | 2023 |
| GPUAPI: Multi-level Chapel Runtime API for GPUs A Hayashi, SR Paul, V Sarkar The 8th Annual Chapel Implementers and Users Workshop (CHIUW), 2021 | 3 | 2021 |
| 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 | 3 | 2018 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| Accelerating CHAMPS on GPUs A Hayashi, SR Paul, V Sarkar The 9th Annual Chapel Implementers and Users Workshop (CHIUW), 2022 | 1 | 2022 |
| 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 | 1 | 2016 |
| 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 |
Akihiro HayashiGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
