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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Vydané v:	SC24: International Conference for High Performance Computing, Networking, Storage and Analysis s. 1 - 13
Hlavní autori:	Sly-Delgado, Barry, Tovar, Ben, Zhou, Jin, Thain, Douglas
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 17.11.2024
Predmet:	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
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