Philip E. Davis

30 papers A 4B 2C 3Misc 3Journal 9Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	Misc	`conf`	Dual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow. HiPC Bo Zhang, Philip E. Davis, Zhao Zhang, Keita Teranishi, Manish Parashar
2024	—	`conf`	Streaming Data in HPC Workflows Using ADIOS. CUG Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchyta, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
2024	J	`jnl`	Streaming Data in HPC Workflows Using ADIOS. CoRR Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
2023	J	`jnl`	Adaptive elasticity policies for staging-based Future Gener. Comput. Syst. Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
2023	Misc	`conf`	Benesh: a Framework for Choreographic Coordination of In Situ Workflows. HiPC Philip E. Davis, Jacob S. Merson, Pradeep Subedi, Lee F. Ricketson, Cameron W. Smith, Mark S. Shephard, Manish Parashar
2023	A	`conf`	LowFive: In Situ Data Transport for High-Performance Workflows. IPDPS Tom Peterka, Dmitriy Morozov, Arnur Nigmetov, Orcun Yildiz, Bogdan Nicolae, Philip E. Davis
2023	—	`conf`	Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par Bo Zhang, Philip E. Davis, Nicolas M. Morales, Zhao Zhang, Keita Teranishi, Manish Parashar
2022	B	`conf`	Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar
2022	J	`jnl`	The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 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
2021	Misc	`conf`	Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. HiPC Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2021	—	`conf`	An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
2021	J	`jnl`	Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
2021	—	`conf`	Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. IPDPS Workshops Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2021	C	`conf`	RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER Pradeep Subedi, Philip E. Davis, Manish Parashar
2021	B	`conf`	Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 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
2021	J	`jnl`	Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR 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
2020	J	`jnl`	ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 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
2020	—	`conf`	Benesh: a Programming Model for Coupled Scientific Workflows. ESPM2@SC Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar
2020	J	`jnl`	CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar
2020	J	`jnl`	Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. CoRR Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar
2020	C	`conf`	Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2019	A	`conf`	Addressing data resiliency for staging based scientific workflows. SC Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar
2019	C	`conf`	Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER Pradeep Subedi, Philip E. Davis, Manish Parashar
2019	—	`conf`	Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications. ScienceCloud@HPDC Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero
2018	—	`conf`	Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 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
2018	A	`conf`	Scalable Data Resilience for In-memory Data Staging. IPDPS Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar
2018	A	`conf`	Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. SC Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar
2018	J	`jnl`	Using Intel Optane Devices for In-situ Data Staging in HPC Workflows. CoRR Pradeep Subedi, Philip E. Davis, Juan J. Villalobos, Ivan Rodero, Manish Parashar
2017	—	`conf`	Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 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
2017	—	`conf`	Scalable Parallelization of a Markov Coalescent Genealogy Sampler. IPDPS Workshops Philip E. Davis, Adam M. Terwilliger, David Zeitler, Gregory Wolffe