CERN Accelerating science

Article
Report number	arXiv:1901.04834
Title	Exploring polyglot software frameworks in ALICE with FairMQ and fer
Author(s)	Binet, S. (Clermont-Ferrand U.)
Collaboration	ALICE Collaboration
Publication	2019
Imprint	2019-01-15
Number of pages	8
Note	8 pages, 8 figures, contribution to CHEP 2018 conference
In:	EPJ Web Conf. 214 (2019) 05032
In:	23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.05032
DOI	10.1051/epjconf/201921405032 (publication)
Subject category	physics.ins-det ; Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; ALICE
Abstract	In order to meet the challenges of the Run 3 data rates and volumes, the ALICE collaboration is merging the online and offline infrastructures into a common framework: ALICE-O2. O2 is based on FairRoot and FairMQ, a message-based, multi-threaded and multi-process control framework. In FairMQ, processes (possibly on different machines) exchange data via message queues either through 0MQ or nanomsg. In turn, this enables developers to write their reconstruction or analysis process in whatever language they choose or deem appropriate for the task at hand, as long as that programming language can send and receive data through these message queues. This paper introduces fer, a Go-based toolkit that interoperates with the C++ toolkit FairMQ, to explore the realm of polyglot distributed frameworks.
Copyright/License	preprint: (License: arXiv nonexclusive-distrib 1.0) publication: © 2019-2025 Authors (License: CC-BY-4.0)

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