23–28 Oct 2022
Villa Romanazzi Carducci, Bari, Italy
Europe/Rome timezone

Distributed data processing pipelines in ALFA

25 Oct 2022, 11:00
30m
Area Poster (Floor -1) (Villa Romanazzi)

Area Poster (Floor -1)

Villa Romanazzi

Poster Track 1: Computing Technology for Physics Research Poster session with coffee break

Speaker

Alexey Rybalchenko (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))

Description

The common ALICE-FAIR software framework ALFA offers a platform for simulation, reconstruction and analysis of particle physics experiments. FairMQ is a module of ALFA that provides building blocks for distributed data processing pipelines, composed out of components communicating via message passing. FairMQ integrates and efficiently utilizes standard industry data transport technologies, while hiding the transport details behind an abstract interface. In this work we present the latest developments in FairMQ, focusing on the new and improved features of the transport layer, primarily the shared memory transport and the generic interface features. Furthermore, we present the new control and configuration facilities, that allow programmatically controlling a group of FairMQ components. Additionally, new debugging and monitoring tools are highlighted. Finally, we outline how these tools are used by the ALICE experiment.

Experiment context, if any ALICE, FAIR

Author

Alexey Rybalchenko (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))

Co-authors

Dennis Klein (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) Mohammad Al-Turany (CERN)

Presentation materials

Peer reviewing

Paper