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Philip E. Davis

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

6

Active years

2017–2024

Best venue rank

National

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2024HiPCDual Channel Dual Staging: Hierarchical and Portable Staging for GPU-Based In-Situ Workflow.Bo Zhang, Philip E. Davis, Zhao Zhang, Keita Teranishi, Manish Parashar
2023EuroParOptimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA.Bo Zhang, Philip E. Davis, Nicolas M. Morales, Zhao Zhang, Keita Teranishi, Manish Parashar
2023HiPCBenesh: a Framework for Choreographic Coordination of In Situ Workflows.Philip E. Davis, Jacob S. Merson, Pradeep Subedi, Lee F. Ricketson, Cameron W. Smith, Mark S. Shephard, Manish Parashar
2022CCGRIDAssembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization.Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar
2021CLUSTERRISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows.Pradeep Subedi, Philip E. Davis, Manish Parashar
2021HiPCAdaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing.Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2020CLUSTERStaging Based Task Execution for Data-driven, In-Situ Scientific Workflows.Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
2020SCBenesh: a Programming Model for Coupled Scientific Workflows.Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar
2019CLUSTERLeveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows.Pradeep Subedi, Philip E. Davis, Manish Parashar
2019HPDCTowards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications.Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero
2019SCAddressing data resiliency for staging based scientific workflows.Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar
2018SCStacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows.Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar
2017EuroParComputing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.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. Kur, 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