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UID:submissions.pasc-conference.org_PASC24_sess179_pap137@linklings.com
SUMMARY:MultIO: A Framework for Message-Driven Data Routing For Weather an
 d Climate Simulations
DESCRIPTION:Paper\n\nDomokos Sarmany, Mirco Valentini, Pedro Maciel, Phili
 pp Geier, Simon Smart, Razvan Aguridan, James Hawkes, and Tiago Quintino (
 ECMWF)\n\nIn numerical weather prediction and high-performance computing, 
 the primary computational bottleneck has gradually evolved from floating-p
 oint arithmetic to the throughput of data to and from the storage. This ph
 enomenon is commonly referred to as the I/O performance gap. We present Mu
 ltIO, a set of software libraries that provide two mechanisms to mitigate 
 this effect: an asynchronous I/O-server to decouple data output from model
  computations, and user-programmable processing pipelines that operate on 
 model output directly. MultIO is a metadata-driven, message-based system. 
 This means that the I/O-server and processing pipelines fundamentally hand
 le and operate on discrete self-describing messages. The behaviour of the 
 I/O-server, data routing decisions and selection of actions undertaken are
  driven by the metadata attached to each message. The user may control the
  type and amount of post-processing by setting the message metadata via th
 e Fortran/C/Python APIs, and by configuring a processing pipeline of actio
 ns. Users are also able to implement custom actions to be incorporated int
 o the pipelines. The MultIO system has been used with the NEMOv4 model to 
 implement the upcoming ocean re-analysis dataset, which will feed into the
  production runs of the next generation of global re-analysis dataset, ERA
 6. It has also been used to move computation closer to the model for clima
 te runs at scale in the nextGEMS and Destination Earth projects.\n\nDomain
 : Climate, Weather, and Earth Sciences, Computational Methods and Applied 
 Mathematics\n\nSession Chair: Thorsten Kurth (NVIDIA Inc.)
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