PvaPy streaming framework for real‐time data processing.
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| Title: | PvaPy streaming framework for real‐time data processing. |
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| Authors: | Veseli, Siniša1 (AUTHOR) sveseli@anl.gov, Hammonds, John1 (AUTHOR), Henke, Steven1 (AUTHOR), Parraga, Hannah1 (AUTHOR), Frosik, Barbara1 (AUTHOR), Schwarz, Nicholas1 (AUTHOR) |
| Source: | Journal of Synchrotron Radiation. May2025, Vol. 32 Issue 3, p823-836. 14p. |
| Subjects: | Remote computing, Electronic data processing, Image converters, Data analysis, Pythons |
| Abstract: | User facility upgrades, new measurement techniques, advances in data analysis algorithms as well as advances in detector capabilities result in an increasing amount of data collected at X‐ray beamlines. Some of these data must be analyzed and reconstructed on demand to help execute experiments dynamically and modify them in real time. In turn, this requires a computing framework for real‐time processing capable of moving data quickly from the detector to local or remote computing resources, processing data, and returning results to users. In this paper, we discuss the streaming framework built on top of PvaPy, a Python API for the EPICS pvAccess protocol. We describe the framework architecture and capabilities, and discuss scientific use cases and applications that benefit from streaming workflows implemented on top of this framework. We also illustrate the framework's performance in terms of achievable data‐processing rates for various detector image sizes. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Synchrotron Radiation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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