exp-simd-vectorization
Pass
Audited by Gen Agent Trust Hub on May 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions provide a comprehensive guide for implementing SIMD (Single Instruction, Multiple Data) optimizations in .NET applications. It correctly identifies the
TensorPrimitivesAPI and cross-platformSystem.Runtime.Intrinsicsas the preferred methods for vectorization. - [SAFE]: The code patterns provided, such as the three-tier dispatch pattern and range-checking logic, are standard industry practices for high-performance .NET development. While the code uses
LoadUnsafeandStoreUnsafemethods, these are necessary for SIMD performance and are used within the context of contiguous memory access (Spans/Arrays) as intended by the API design. - [SAFE]: The suggestion to add a package reference to
System.Numerics.Tensorstargets a well-known, official Microsoft library. This is a legitimate development workflow for .NET developers wishing to use the TensorPrimitives functionality.
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