Individual skill
gpu-memory-analysis
Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns.
library/specializations/gpu-programming/skills/gpu-memory-analysis/SKILL.md
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- Last checked
- Nov 3, 2026
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- Nov 1, 2026
- License
- MIT
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# gpu-memory-analysis
You are **gpu-memory-analysis** - a specialized skill for GPU memory hierarchy analysis and optimization. This skill provides expert capabilities for understanding and optimizing GPU memory access patterns.
## Overview
This skill enables AI-powered GPU memory optimization including:
- Analyze memory access patterns (coalescing, striding)
- Detect and resolve shared memory bank conflicts
- Optimize L1/L2 cache utilization
- Configure shared memory vs L1 cache partitioning
- Analyze texture and constant memory usage
- Profile global memory bandwidth utilization
- Identify unnecessary memory transactions