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Tweaked LOs to remove superfluous ones
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content/learning-paths/cross-platform/simd-loops/_index.md

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@@ -7,8 +7,6 @@ who_is_this_for: This is an advanced topic for software developers who want to l
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learning_objectives:
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- Improve SIMD code performance using Scalable Vector Extension (SVE) and Scalable Matrix Extension (SME)
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- Explore how SVE indexed fmla and SME2 fmopa instructions accelerate matrix multiplication
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- Understand how SME2 kernels use ZA tiles and streaming attributes
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- Describe what SIMD Loops contains and how kernels are organized across scalar, NEON, SVE,SVE2, and SME2 variants
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- Build and run a selected kernel with the provided runner and validate correctness against the C reference
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- Choose the appropriate build target to compare NEON, SVE/SVE2, and SME2 implementations

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