| ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ... SoftwareX 12, 100561, 2020 | 147 | 2020 |
| Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ... European Conference on Parallel Processing, 3-19, 2017 | 93 | 2017 |
| Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows P Subedi, P Davis, S Duan, S Klasky, H Kolla, M Parashar Proceedings of the International Conference for High Performance Computing …, 2018 | 50 | 2018 |
| The SFR–M* Correlation Extends to Low Mass at High Redshift K Iyer, E Gawiser, R Davé, P Davis, SL Finkelstein, D Kodra, ... The Astrophysical Journal 866 (2), 120, 2018 | 46 | 2018 |
| Coupling Exascale Multiphysics Applications: Methods and Lessons Learned JY Choi, CS Chang, J Dominski, S Klasky, G Merlo, E Suchyta, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 442-452, 2018 | 40 | 2018 |
| The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science E Suchyta, S Klasky, N Podhorszki, M Wolf, A Adesoji, CS Chang, J Choi, ... The International Journal of High Performance Computing Applications …, 2021 | 20 | 2021 |
| First coupled GENE–XGC microturbulence simulations G Merlo, S Janhunen, F Jenko, A Bhattacharjee, CS Chang, J Cheng, ... Physics of Plasmas 28 (1), 012303, 2021 | 15 | 2021 |
| Scaling Deep Learning for Cancer with Advanced Workflow Storage Integration JM Wozniak, PE Davis, T Shu, J Ozik, N Collier, M Parashar, I Foster, ... 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), 114-123, 2018 | 15 | 2018 |
| Scalable Data Resilience for In-memory Data Staging S Duan, P Subedi, K Teranishi, P Davis, H Kolla, M Gamell, M Parashar 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 14 | 2018 |
| CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows S Duan, P Subedi, P Davis, K Teranishi, H Kolla, M Gamell, M Parashar ACM Transactions on Parallel Computing (TOPC) 7 (2), 1-29, 2020 | 12 | 2020 |
| Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2 F Poeschel, J E, WF Godoy, N Podhorszki, S Klasky, G Eisenhauer, ... Smoky Mountains Computational Sciences and Engineering Conference, 99-118, 2021 | 11 | 2021 |
| ADIOS 2: the adaptable input output system. A framework for high-performance data management. SoftwareX 12, 100561 (2020) WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ... | 10 | 2020 |
| Addressing data resiliency for staging based scientific workflows S Duan, P Subedi, PE Davis, M Parashar Proceedings of the International Conference for High Performance Computing …, 2019 | 9 | 2019 |
| Towards a smart, internet-scale cache service for data intensive scientific applications Y Qin, A Simonet, PE Davis, A Nouri, Z Wang, M Parashar, I Rodero Proceedings of the 10th Workshop on Scientific Cloud Computing, 11-18, 2019 | 9 | 2019 |
| Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows P Subedi, PE Davis, M Parashar 2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-11, 2019 | 8 | 2019 |
| Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges A Nouri, PE Davis, P Subedi, M Parashar arXiv preprint arXiv:2110.13999, 2021 | 7 | 2021 |
| Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows Z Wang, P Subedi, M Dorier, PE Davis, M Parashar 2020 IEEE International Conference on Cluster Computing (CLUSTER), 209-220, 2020 | 7 | 2020 |
| Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing Z Wang, P Subedi, M Dorier, PE Davis, M Parashar 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 5 | 2021 |
| RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows P Subedi, PE Davis, M Parashar 2021 IEEE International Conference on Cluster Computing (CLUSTER), 146-156, 2021 | 4 | 2021 |
| An Adaptive Elasticity Policy For Staging Based In-Situ Processing Z Wang, M Dorier, P Subedi, PE Davis, M Parashar 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 33-41, 2021 | 3 | 2021 |
Manish ParasharPresidential Professor, SCI Institute Director and Chair in Computational Science and Engineering確認したメール アドレス: ieee.org
