115 citations · 365 across the 18 of their papers we have counts for
19 papers
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery
Yubo Qin, Ivan Rodero, Manish Parashar
Data collected by large-scale instruments, observatories, and sensor networks are key enablers of scientific discoveries in many disciplines. However, ensuring that these data can…
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…
Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories
Yubo Qin, Ivan Rodero, Anthony Simonet +4
With the growing number and increasing availability of shared-use instruments and observatories, observational data is becoming an essential part of application workflows and contr…
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…