The performance difference makes using this pattern worthwhile in performance critical places. This pattern is used as a replacement for regular delegates.Ĭalling functions using this patten may feel unusual since it requires creation of structs to pass as arguments instead of delegates, but it is very beneficial performance-wise. This library uses the value delegate pattern. Intel Core i7-10510U CPU 1.80GHz, 1 CPU, 8 logical and 4 physical cores Methodīenchmark Details BenchmarkDotNet=v0.13.2, OS=Windows 11 (1.819) Performance BenefitsĪ simple benchmark to demonstrate performance gains of using SIMD.īenchmarked method was a Sum over an int. Check Value Delegates section for more info. Note that using this overload results in performence losses. Performs less allocations compared to standard LINQ implementationsįor any of the Elementwise functions, an auto-generated overload is created, which doesn't accept Span result,įor any of the functions with the Value Delagate pattern, an auto-generated overload is created, which accepts regular delegates.Helps generalize several methemathical functions for supported types.Simplifies SIMD usage, and to make it easy to integrate it into an already existing solutions.

Gain performence boost for mathematical computations using a simple API.

Single API to unify SIMD for All supported types.

This approach could be combined with standard multithreading for massive performence boosts in numeric computations.

The concurrency is performed on a single thread, while utilizing the full size of the processor register to perform several operations at one. Single Instruction, Multiple Data (SIMD) units refer to hardware components that perform the same operation on multiple data operands concurrently.

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