Speaker
Description
The volume and complexity of data produced at HEP and NP research facilities have grown exponentially. There is an increased demand for new approaches to process data in near-real-time. In addition, existing data processing architectures need to be reevaluated to see if they are adaptable to new technologies. A unified programming model for event processing and distribution that can exploit parallelism and heterogeneity in the computing environment still needs to be developed. This paper investigates the benefits of blending Flow-Based Programming with the Reactive Actor Model for building distributed, reactive, and high-performance data stream processing applications. In this paper, we present the design concepts of the ERSAP framework for building such applications. The results of using ERSAP in the recent beam test of the EIC prototype calorimeter at DESY and a GEM detector at JLAB will be presented.
| Consider for long presentation | Yes |
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