Identify method allocator usage optimizations via runtime memory profiling
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@rascani is already working on this.
Since Mar 31, 2026.
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- Python
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Description
Description
Leverage runtime memory profiling (from H1 P0 work) to identify and implement optimizations reducing method allocator footprint.
Acceptance Criteria
- Memory profiling data collected for TinyML models on Cortex-M
- Optimization opportunities identified and at least 2 implemented
- Measurable reduction in method allocator usage documented
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