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cs.DC2024
Optimizing STAR Aligner for High Throughput Computing in the Cloud
Piotr Kica, Sabina Lichołai, Michał Orzechowski +1
We propose a scalable, cloud-native architecture designed for Transcriptomics Atlas Pipeline, using a resource-intensive STAR aligner and processing tens or hundreds of terabytes o…
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…