Case Studyaieimage processingamd ryzen aimemory optimization
AMD Ryzen AI Optimizes Color Image Negative Conversion
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7.1
This session demonstrates how to use the Trace feature to implement and optimize color image negative conversion on AMD Ryzen AI Phoenix, using AIE dialects and AIE API. Engineers traced a 3-core design with 1,286,000 ns lock stalls and redesigned it to a 1-core approach with 320,000 ns per-component lock stalls, consolidating buffers and DMA channels to cut memory footprint and improve utilization.
Scoring Rationale
Actionable, measurable optimization guidance for AMD NPU; limited scope and single-source session focused on Phoenix-specific implementation.
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