STI Publications - View Publication Form #17135
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Publication Information
| Title | ERSAP: Towards Better HEP/NP Data-Stream Analytics with Flow-Based Programming | ||||
| Abstract | This paper presents an reactive, actor-model and FBP paradigm based framework that we develop to design data-stream processing applications for HEP and NP. This framework encourages a functional decomposition of the overall data processing application into small mono-functional artifacts. Artifacts that are easy to understand, develop, deploy and debug. The fact that these artifacts (actors) are programmatically independent they can be scaled and optimized independently, which is impossible to do for components of the monolithic application. One of the important advantages of this approach is fault tolerance where independent actors can come and go on the data-stream without forcing the entire application to crash. Furthermore, it also makes it is easy to locate the faulty actor in the data pipeline. Due the fact that the actors are loosely coupled, and that the data (inevitably) carries the context, they can run on heterogeneous environments, utilizing different accelerators. This pa | ||||
| Author(s) | Vardan Gyurjyan, Dave Abbott, Nathan Brei, Michael Goodrich, Graham Heyes, Ed Jastrzembski, David Lawrence, Benjamin Raydo, Carl Timmer | ||||
| Publication Date | June 2023 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
| Affiliation | Comp Sci&Tech (CST) Div / Scientific Computing / Scientific Computing | ||||
| Funding Source | Nuclear Physics (NP) | ||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | Yes | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | IEEE Transactions on Nuclear Science |
| Refereed | No |
| Volume | 70 |
| Issue | 6 |
| Page(s) | 966 - 970 |
Attachments/Datasets/DOI Link
| Document(s) |
ieee-paper.docx
(STI Document)
ersap_ieee.pdf
(Supporting)
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| DOI Link | |
| Dataset(s) | (none) |
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