AMD Ryzen AI Performs Grayscale Negative Conversion
This tutorial demonstrates implementing a grayscale-to-negative image conversion on the AMD Ryzen AI Phoenix AIE NPU using the AIE API and IRON MLIR toolchain. It details vectorized 64-pixel operations, data movement via SHIM DMA and L3 memory, and targets a 1920×1080 8-bit image on Core(0,2) across 16 AI cores. Practitioners receive build/run commands and environment setup links.
Key Points
- 1Implements grayscale negative conversion on AIE NPU using AIE API and MLIR toolchain with 64-pixel vectors
- 2Describes precise data movement via L3 memory, SHIM DMA, and Core(0,2) for 1920×1080 8-bit images
- 3Provides build commands, example run arguments, and environment links enabling direct deployment on Phoenix hardware
Scoring Rationale
Practical, actionable NPU tutorial with device-specific guidance; limited novelty and confined to AMD Phoenix platform.
Sources
Public references used for this report.
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