Interesting complement to caching: duplicate-aware parallel execution

[likeslines-maker]

While FusionCache solves caching extremely well, I recently came across a different layer of optimization that may be interesting for people processing large batches.

https://github.com/likeslines-maker/Principium.Parallel

The idea is not only caching values, but preventing duplicated expensive computations from happening in the first place when large batches contain many repeated keys.

Examples:

• embedding generation
• ML inference
• event aggregation
• ETL normalization
• document enrichment

In some workloads duplicate density reaches 80–99%, making computation coalescing more important than cache lookup speed itself.

Commercial library, but free for testing and development.