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framework-internalsdevelopment

exp-simd-vectorization

Optimizes hot-path scalar loops in .NET 8+ with cross-platform Vector128/Vector256/Vector512 SIMD intrinsics, or replaces manual math loops with single TensorPrimitives API calls. Covers byte-range validation, character counting, bulk bitwise ops, cross-type conversion, fused multi-array computations, and float/double math operations.

managedcode
maintainer
managedcode
আপডেট হয়েছে 4/8/2026
স্টার
261
ফর্ক
20
quick start

Installation and usage

Optimizes hot-path scalar loops in .NET 8+ with cross-platform Vector128/Vector256/Vector512 SIMD intrinsics, or replaces manual math loops with single TensorPrimitives API calls. Covers byte-range validation, character counting, bulk bitwise ops, cross-type conversion, fused multi-array computations, and float/double math operations.

ইনস্টলেশন
$ install --globalskills.sh
ব্যবহার

ইনস্টল করার পর, টার্মিনালে নিচের কমান্ড চালিয়ে আপনি এই স্কিল ব্যবহার করতে পারবেন:

skills use exp-simd-vectorization