48 citations · 140 across the 31 of their papers we have counts for
4 papers · 1 filter
Exascale Workflow Applications and Middleware: An ExaWorks Retrospective
Aymen Alsaadi, Mihael Hategan-Marandiuc, Ketan Maheshwari +9
Exascale computers offer transformative capabilities to combine data-driven and learning-based approaches with traditional simulation applications to accelerate scientific discover…
ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies
Matteo Turilli, Mihael Hategan-Marandiuc, Mikhail Titov +13
Scientific discovery increasingly requires executing heterogeneous scientific workflows on high-performance computing (HPC) platforms. Heterogeneous workflows contain different typ…
Design and Implementation of an Analysis Pipeline for Heterogeneous Data
Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera +8
Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficult…
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows
Ozgur Ozan Kilic, Tianle Wang, Matteo Turilli +4
Workflows are critical for scientific discovery. However, the sophistication, heterogeneity, and scale of workflows make building, testing, and optimizing them increasingly challen…