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20152025
most citedMiddleware Building Blocks for Workflow Systems

48 citations · 143 across the 38 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024

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…

cs.SE2024

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…

cs.DC2024

Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale

Aymen Alsaadi, Shantenu Jha, Matteo Turilli

Scientific discovery increasingly depends on middleware that enables the execution of heterogeneous workflows on heterogeneous platforms One of the main challenges is to design sof…

cs.DC2024★ 2 cited

Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization

Mikhail Titov, Robert Carson, Matthew Rolchigo +6

When running at scale, modern scientific workflows require middleware to handle allocated resources, distribute computing payloads and guarantee a resilient execution. While indivi…

cs.DC2024

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…

cs.DC2024

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…