INAF.Libraries.Net.Data.Helpers TECHNICAL REPORT
Year: 2026
Type: article
Abstract: This solution provides a set of reusable .NET libraries for scientific and numeric data processing, with a focus on multidimensional data structures, matrix-oriented transformations, and parallel execution helpers. The codebase is organized into small libraries with separated responsibilities:- `INAF.Libraries.Net.Data`: domain types and low-level data access for matrices, qubes, headers, and typed result containers.- `INAF.Libraries.Net.Data.Helpers`: higher-level helper APIs for building arrays and matrices, and for converting `Qube` data into analysis-ready `Matrix` instances.- `INAF.Libraries.Net.Parallelization`: reusable parallel iteration and processor allocation helpers used by the other libraries.The solution is suitable as a foundation for data-analysis pipelines that need to read structured scientific datasets, transform them into matrix form, and execute CPU-bound operations efficiently
Author: Carraro, Francesco
Institution: National Institute for Astrophysics
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140214734
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