INAF.Libraries.Net.Parallelization TECHNICAL REPORT

`INAF.Libraries.Net.Parallelization` is a lightweight .NET library designed to simplify the execution of CPU-bound parallel workloads. The solution provides helper classes that wrap the standard .NET parallel programming APIs and expose a small set of utility methods for executing indexed iterations in parallel.The library focuses on: controlling the maximum number of processors used during parallel execution; simplifying `Parallel.For` and `Parallel.ForEach` invocation patterns; supporting cancellation-aware parallel execution; providing reusable iteration thresholds through shared constants.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.19205481
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

INAF.Libraries.Net.Parallelization TECHNICAL REPORT

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

INAF.Libraries.Net.Parallelization TECHNICAL REPORT

article en

Abstract

`INAF.Libraries.Net.Parallelization` is a lightweight .NET library designed to simplify the execution of CPU-bound parallel workloads. The solution provides helper classes that wrap the standard .NET parallel programming APIs and expose a small set of utility methods for executing indexed iterations in parallel.The library focuses on: controlling the maximum number of processors used during parallel execution; simplifying `Parallel.For` and `Parallel.ForEach` invocation patterns; supporting cancellation-aware parallel execution; providing reusable iteration thresholds through shared constants.

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.Parallelization TECHNICAL REPORT · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS