Linking scientific instruments and computation: Patterns, technologies, and experiences.

ABSTRACT: Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s. Online analysis methods are needed to enable the collection of only interesting subsets of such massive data streams, such as by explicitly discarding some data elements or by directing instruments to relevant areas of experimental space. Thus, methods are required for configuring and running distributed computing pipelines-what we call flows-that link instruments, computers (e.g., for analysis, simulation, artificial intelligence [AI] model training), edge computing (e.g., for analysis), data stores, metadata catalogs, and high-speed networks. We review common patterns associated with such flows and describe methods for instantiating these patterns. We present experiences with the application of

SUBMITTER: Vescovi R 

PROVIDER: S-EPMC9583115 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature