54 citations · 85 across the 7 of their papers we have counts for
7 papers
Streaming Data in HPC Workflows Using ADIOS
Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru +12
The "IO Wall" problem, in which the gap between computation rate and data access rate grows continuously, poses significant problems to scientific workflows which have traditionall…
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges
Azita Nouri, Philip E. Davis, Pradeep Subedi +1
In this survey, we discuss the challenges of executing scientific workflows as well as existing Machine Learning (ML) techniques to alleviate those challenges. We provide the conte…
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri, Philip E. Davis, Pradeep Subedi +1
Graph embedding techniques have attracted growing interest since they convert the graph data into continuous and low-dimensional space. Effective graph analytic provides users a de…
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
Franz Poeschel, Juncheng E, William F. Godoy +11
This paper aims to create a transition path from file-based IO to streaming-based workflows for scientific applications in an HPC environment. By using the openPMP-api, traditional…
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows
Zhe Wang, Pradeep Subedi, Shaohua Duan +5
In order to achieve near-time insights, scientific workflows tend to be organized in a flexible and dynamic way. Data-driven triggering of tasks has been explored as a way to suppo…
The SFR-M Correlation Extends to Low Mass at High Redshift
Kartheik G. Iyer, Eric Gawiser, Romeel Davé +8
To achieve a fuller understanding of galaxy evolution, SED fitting can be used to recover quantities beyond stellar masses (M) and star formation rates (SFRs). We use Star Form…