Parallelizing Accelerographic Records Processing
Published • May 27, 2024
NobleIDNI8P15W89R27S71
Authors:,,
Ronaldo Canizales
Luis Mixco
Jedidiah McClurg
Abstract
Strong-motion processing holds paramount importance in earthquake engineering and disaster risk management systems. By leveraging parallel loops and task-parallelism techniques, we address computational challenges posed by large-scale accelerographic datasets. Through experimentation with more than ...
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