In numerical weather prediction and high-performance computing, the primary computational bottleneck has gradually evolved from floating-point arithmetic to the throughput of data to and from the storage. This phenomenon is commonly referred to as the I/O performance gap. We present MultIO, 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.
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Sármány et al. (2024) studied this question.
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