Philip E. Davis

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 28

Top Topics

Graph Embedding

Scientific Workflows

Streaming Time Series

Top Venues

IPDPS Workshops

Publications

Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis
LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS (2023)
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
visualization. Future Gener. Comput. Syst. 142 (2023)
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)
Bo Zhang, Philip E. Davis, Nicolas Morales, Zhao Zhang, Keita Teranishi, Manish Parashar
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par (2023)
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)
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) (2022)
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)
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)
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 (2021)
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)
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS (2021)
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
Scalable Graph Embedding LearningOn A Single GPU. CoRR (2021)
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR (2021)
Pradeep Subedi, Philip E. Davis, Manish Parashar
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER (2021)
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 (2020)
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)
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) (2020)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER (2020)
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 (2020)
Pradeep Subedi, Philip E. Davis, Manish Parashar
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER (2019)
Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar
Addressing data resiliency for staging based scientific workflows. SC (2019)
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)
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)
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 (2018)
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)
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)
Philip E. Davis, Adam M. Terwilliger, David Zeitler, Gregory Wolffe
Scalable Parallelization of a Markov Coalescent Genealogy Sampler. IPDPS Workshops (2017)
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)