Philip E Davis
Rutgers, The State University of New Jersey
H-index: 10
North America-United States
Top articles of Philip E Davis
Benesh: a Framework for Choreographic Coordination of In Situ Workflows
2023/12/18
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA
2023/8/24
LowFive: In Situ Data Transport for High-Performance Workflows
2023/5/15
Philip E Davis
H-Index: 6
Adaptive elasticity policies for staging-based in situ visualization
Future Generation Computer Systems
2023/5/1
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization
2022/5/16
Organizing Large Data Sets for Efficient Analyses on HPC Systems
Journal of Physics: Conference Series
2022/4/1
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing
2021/12/17
An Adaptive Elasticity Policy For Staging Based In-Situ Processing
2021/11/15
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges
2021/10/26
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
2021/10/18
Greg Eisenhauer
H-Index: 15
Philip E Davis
H-Index: 6
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows
2021/9/7
Pradeep Subedi
H-Index: 5
Philip E Davis
H-Index: 6
Design and Performance of Kokkos Staging Space toward Scalable Resilient Application Couplings
2021/8/1
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows
2021
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science
The International Journal of High Performance Computing Applications
2022/1
First coupled GENE–XGC microturbulence simulations
Physics of Plasmas
2021/1/1
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management
SoftwareX
2020/7/1
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows
ACM Transactions on Parallel Computing
2020/2
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows
arXiv preprint arXiv:2004.10381
2020/4/22
Toward Resilient Heterogeneous Computing Workflow through Kokkos-DataSpaces Integration.
2020/12/1
