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Philip E. Davis
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2020 – today
- 2023
- [j4]Zhe Wang
, Matthieu Dorier
, Pradeep Subedi
, Philip E. Davis, Manish Parashar:
Adaptive elasticity policies for staging-based in situ visualization. Future Gener. Comput. Syst. 142: 75-89 (2023) - [c19]Bo Zhang
, Philip E. Davis, Nicolas M. Morales, Zhao Zhang, Keita Teranishi, Manish Parashar:
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par 2023: 323-338 - [c18]Philip E. Davis, Jacob S. Merson
, Pradeep Subedi, Lee F. Ricketson, Cameron W. Smith, Mark S. Shephard, Manish Parashar:
Benesh: a Framework for Choreographic Coordination of In Situ Workflows. HiPC 2023: 298-308 - [c17]Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis:
LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS 2023: 985-995 - 2022
- [j3]Eric Suchyta
, Scott Klasky, Norbert Podhorszki
, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski
, Stéphane Ethier, Ian T. Foster
, Kai Germaschewski, Berk Geveci, Chris Harris
, Kevin A. Huck
, Qing Liu, Jeremy Logan
, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard
, Cameron W. Smith
, Pradeep Subedi
, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [c16]Bo Zhang
, Pradeep Subedi
, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar:
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID 2022: 41-50 - 2021
- [c15]Pradeep Subedi, Philip E. Davis, Manish Parashar:
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER 2021: 146-156 - [c14]Zhe Wang, Pradeep Subedi
, Matthieu Dorier
, Philip E. Davis, Manish Parashar:
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. HiPC 2021: 242-251 - [c13]Zhe Wang, Pradeep Subedi, Matthieu Dorier
, Philip E. Davis, Manish Parashar:
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. IPDPS Workshops 2021: 960-964 - [c12]Franz Poeschel
, Juncheng E
, William F. Godoy
, Norbert Podhorszki
, Scott Klasky
, Greg Eisenhauer
, Philip E. Davis, Lipeng Wan
, Ana Gainaru
, Junmin Gu
, Fabian Koller
, René Widera
, Michael Bussmann
, Axel Huebl
:
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118 - [c11]Zhe Wang, Matthieu Dorier
, Pradeep Subedi
, Philip E. Davis, Manish Parashar:
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS 2021: 33-41 - [i4]Franz Poeschel, Juncheng E, William F. Godoy
, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021) - [i3]Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar:
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR abs/2110.13999 (2021) - 2020
- [j2]William F. Godoy
, Norbert Podhorszki
, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck
, Axel Huebl
, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan
, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta
, Keichi Takahashi
, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu
, Scott Klasky:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - [j1]Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar:
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. 7(2): 12:1-12:29 (2020) - [c10]Zhe Wang, Pradeep Subedi, Matthieu Dorier
, Philip E. Davis, Manish Parashar:
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER 2020: 209-220 - [c9]Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar:
Benesh: a Programming Model for Coupled Scientific Workflows. ESPM2@SC 2020: 1-9 - [i2]Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar:
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. CoRR abs/2004.10381 (2020)
2010 – 2019
- 2019
- [c8]Pradeep Subedi, Philip E. Davis, Manish Parashar:
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER 2019: 1-11 - [c7]Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero
:
Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications. ScienceCloud@HPDC 2019: 11-18 - [c6]Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Addressing data resiliency for staging based scientific workflows. SC 2019: 87:1-87:22 - 2018
- [c5]Jong Youl Choi, Choong-Seock Chang
, Julien Dominski
, Scott Klasky, Gabriele Merlo, Eric Suchyta
, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill
, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo
, Kevin A. Huck
, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan
, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki
, Dave Pugmire, Ozan Tugluk
, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c4]Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar:
Scalable Data Resilience for In-memory Data Staging. IPDPS 2018: 105-115 - [c3]Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar:
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. SC 2018: 73:1-73:11 - [i1]Pradeep Subedi, Philip E. Davis, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Using Intel Optane Devices for In-situ Data Staging in HPC Workflows. CoRR abs/1807.09651 (2018) - 2017
- [c2]Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu
, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo
, Scott Klasky, Kerstin Kleese van Dam
, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao
, Ozan Tugluk
, Stefan M. Wild
, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c1]Philip E. Davis, Adam M. Terwilliger, David Zeitler, Gregory Wolffe:
Scalable Parallelization of a Markov Coalescent Genealogy Sampler. IPDPS Workshops 2017: 293-302
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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