What does this research mean for the field?

The INAF.Libraries.Net.Parallelization library provides a lightweight solution to simplify the execution of CPU-bound parallel workloads in .NET by wrapping standard parallel programming APIs. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The main aim is to simplify the execution of CPU-bound parallel workloads using a lightweight .NET library.

March 26, 2026Open Access

INAF.Libraries.Net.Parallelization TECHNICAL REPORT

Key Points

The main aim is to simplify the execution of CPU-bound parallel workloads using a lightweight .NET library.
Developed a library to wrap standard .NET parallel programming APIs.
Created utility methods for executing indexed iterations in parallel.
Implemented features to control processor usage during parallel execution.
Supported cancellation-aware execution for better control.
Provided reusable iteration thresholds through shared constants.
Enhanced ease of use for Parallel.For and Parallel.ForEach invocations.
Controlled maximum processor usage improves efficiency.
Cancellation support adds flexibility in parallel tasks execution.

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.

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