exp-simd-vectorization

SKILLFlusso di lavorocommunity
v0.0.0managedcodeMITAggiornato 14 g faFonte →

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 computation

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469Stelle del repo
1Client
1Formati
14 g faUltimo aggiornamento
Skill
Autoremanagedcode
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
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Descrizione

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.

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