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Title Orchestrating MeerKAT's Distributed Science Data Processing Pipelines
  • A.F. Joubert, B. Merry
    SKA South Africa, National Research Foundation of South Africa, Cape Town, South Africa
Abstract The 64-antenna MeerKAT radio telescope is a precursor to the Square Kilometre Array. The telescope's correlator beamformer streams data at 600 Gb/s to the science data processing pipeline that must consume it in real time. This requires significant compute resources, which are provided by a cluster of heterogeneous hardware nodes. Effective utilisation of the available resources is a critical design goal, made more challenging by requiring multiple, highly configurable pipelines. We initially used a static allocation of processes to hardware nodes, but this approach is insufficient as the project scales up. We describe recent improvements to our distributed container deployment, using Apache Mesos for orchestration. We also discuss how issues like non-uniform memory access (NUMA), network partitions, and fractional allocation of graphical processing units (GPUs) are addressed using a custom scheduler for Mesos.
Paper download THBPA04.PDF [0.285 MB / 6 pages]
Slides download THBPA04_TALK.PDF [8.485 MB]
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Conference ICALEPCS2017, Barcelona, Spain
Series International Conference on Accelerator and Large Experimental Control Systems (16th)
Proceedings Link to full ICALEPCS2017 Proccedings
Session IT Infrastructure for Control Systems
Date 12-Oct-17   11:15–12:45
Main Classification IT Infrastructure for Control Systems
Keywords ion, controls, framework, GPU, network
Publisher JACoW, Geneva, Switzerland
Editors Volker RW Schaa (GSI, Darmstadt, Germany); Isidre Costa (ALBA-CELLS, Cerdanyola del Vallès, Spain); David Fernández (ALBA-CELLS, Cerdanyola del Vallès, Spain); Óscar Matilla (ALBA-CELLS, Cerdanyola del Vallès, Spain)
ISBN 978-3-95450-193-9
Published January 2018
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