MATCHA optimizes DNN deployment on heterogeneous multi-accelerator edge SoCs via constraint programming for memory and scheduling plus pattern matching for parallel execution, cutting latency up to 35% versus the MATCH compiler on MLPerf Tiny.
Gurkaynak, Davide Rossi, and Luca Benini
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MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs
MATCHA optimizes DNN deployment on heterogeneous multi-accelerator edge SoCs via constraint programming for memory and scheduling plus pattern matching for parallel execution, cutting latency up to 35% versus the MATCH compiler on MLPerf Tiny.