INAF.Libraries.Net.Data.Extensions TECHNICAL REPORT

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`).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.19204076
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

INAF.Libraries.Net.Data.Extensions TECHNICAL REPORT

Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

INAF.Libraries.Net.Data.Extensions TECHNICAL REPORT

article en

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`).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Parallel Computing and Optimization Techniques
DOIOpen Access PDFOpenAlex
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INAF.Libraries.Net.Data.Extensions TECHNICAL REPORT · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS