Reshaping High Energy Physics Applications for Near-Interactive Execution Using TaskVine

High energy physics experiments produce petabytes of data annually that must be reduced to gain insight into the laws of nature. Early-stage reduction executes long-running, high-throughput workflows across thousands of nodes spanning multiple facilities to produce shared datasets. Later stages are...

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Veröffentlicht in:	SC24: International Conference for High Performance Computing, Networking, Storage and Analysis S. 1 - 13
Hauptverfasser:	Sly-Delgado, Barry, Tovar, Ben, Zhou, Jin, Thain, Douglas
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 17.11.2024
Schlagworte:	Data analysis Data Transfer Hardware High energy physics High performance computing Libraries Optimization Parallel Programming Peer-to-peer computing Physics Computing Python Schedules Scientific Computing Stress
Online-Zugang:	Volltext
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