simd-intrinsics
CommunityOptimize code with SIMD vectorization.
Authormohitmishra786
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps developers optimize performance-critical code by leveraging Single Instruction, Multiple Data (SIMD) instructions, enabling parallel processing of data elements.
Core Features & Use Cases
- Auto-vectorization Analysis: Understand why compilers might fail to vectorize loops and how to fix it.
- Manual Intrinsics: Write explicit SSE2, AVX2 (x86), and NEON (ARM) intrinsic functions for fine-grained control.
- Runtime Feature Detection: Safely check for CPU support of SIMD extensions before execution.
- Use Case: Accelerate image processing, scientific simulations, or multimedia encoding by processing multiple data points simultaneously.
Quick Start
Use the simd-intrinsics skill to analyze why a loop is not auto-vectorizing and learn how to write SSE2 intrinsics.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: simd-intrinsics Download link: https://github.com/mohitmishra786/low-level-dev-skills/archive/main.zip#simd-intrinsics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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