Vitis Libraries Abstraction: Parameterized DSP IP from Vitis Libraries allowed re-targeting a different AI Engine variant with minimal code changes
Performance Gains: AIE-ML v2’s architectural enhancements increased throughput margin against the target requirement
Similar AI Engine Tile Count and PL Resources: Achieved target performance with identical AI Engine tile utilization (48 tiles) and similar PL resources