193 citations · 246 across the 10 of their papers we have counts for
11 papers
A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
Anjus George, Michael J. Brim, Christopher Zimmer +4
Memory-to-memory data streaming is essential for modern scientific workflows that require near real-time data analysis, experimental steering, and informed decision-making during e…
Secure API-Driven Research Automation to Accelerate Scientific Discovery
Tyler J. Skluzacek, Paul Bryant, A. J. Ruckman +7
The Secure Scientific Service Mesh (S3M) provides API-driven infrastructure to accelerate scientific discovery through automated research workflows. By integrating near real-time s…
Enabling Seamless Transitions from Experimental to Production HPC for Interactive Workflows
Brian D. Etz, David M. Rogers, Michael J. Brim +13
The evolving landscape of scientific computing requires seamless transitions from experimental to production HPC environments for interactive workflows. This paper presents a struc…
Globus Service Enhancements for Exascale Applications and Facilities
Weijian Zheng, Jack Kordas, Tyler J. Skluzacek +2
Many extreme-scale applications require the movement of large quantities of data to, from, and among leadership computing facilities, as well as other scientific facilities and the…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
Towards Lightweight Data Integration using Multi-workflow Provenance and Data Observability
Renan Souza, Tyler J. Skluzacek, Sean R. Wilkinson +2
Modern large-scale scientific discovery requires multidisciplinary collaboration across diverse computing facilities, including High Performance Computing (HPC) machines and the Ed…
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…
Pseudonymization at Scale: OLCF's Summit Usage Data Case Study
Ketan Maheshwari, Sean R. Wilkinson, Alex May +3
The analysis of vast amounts of data and the processing of complex computational jobs have traditionally relied upon high performance computing (HPC) systems. Understanding these a…
funcX: Federated Function as a Service for Science
Zhuozhao Li, Ryan Chard, Yadu Babuji +9
funcX is a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. Unlike centralized FaaS systems, funcX…
funcX: A Federated Function Serving Fabric for Science
Ryan Chard, Yadu Babuji, Zhuozhao Li +5
Exploding data volumes and velocities, new computational methods and platforms, and ubiquitous connectivity demand new approaches to computation in the sciences. These new approach…
Serverless Supercomputing: High Performance Function as a Service for Science
Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li +6
Growing data volumes and velocities are driving exciting new methods across the sciences in which data analytics and machine learning are increasingly intertwined with research. Th…