Work

INAF.Libraries.Net.Data.Extensions TECHNICAL REPORT

Year: 2026

Type: article

Abstract: This solution is a modular `.NET` library stack focused on scientific and numerical data manipulation. Its main objective is to provide reusable data structures, extension methods, parallel execution helpers, and SIMD-oriented numeric operations for matrix and array processing.The current repository, `INAF.Libraries.Net.Data.Extensions`, acts as the extension layer of the solution. It builds on a core data model (`INAF.Libraries.Net.Data`), custom parallelization utilities (`INAF.Libraries.Net.Parallelization`), and SIMD-enabled LINQ extensions (`LinkDotNet.LinqSIMDExtensions`).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19204075

Author: Carraro, Francesco

Institution: National Institute for Astrophysics

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7140187457

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