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arXiv · 2402.17818

scida: scalable analysis for scientific big data

Chris Byrohl·Dylan Nelson
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Abstract

scida is a Python package for reading and analyzing large scientific data sets with support for various cosmological and galaxy formation simulations out-of-the-box. Data access is provided through a hierarchical dictionary-like data structure after a simple load() function. Using the dask library for scalable, parallel and out-of-core computation, all computation requests from a user session are first collected in a task graph. Arbitrary custom analysis, as well as all available dask (array) operations, can be performed. The subsequent computation is executed only upon request, on a target resource (e.g. a HPC cluster).

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Chris Byrohl, Dylan Nelson. 2024-02-27. scida: scalable analysis for scientific big data. https://arxiv.org/abs/2402.17818

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