qGAMMA: A Framework for Optimal DNN Mapping on Multi-Precision Accelerators
In brief
- qGAMMA optimizes DNN deployment on multi-precision accelerators using a genetic algorithm.
- The framework reduces trade-offs between performance, energy, and resource usage.
- Evaluations show concrete gains across various DNN workloads.
qGAMMA is an open-source framework designed to optimize the deployment of deep neural networks (DNNs) on hardware accelerators supporting multiple precision levels. It leverages a genetic algorithm and an analytical model to identify the best configuration, improving performance, energy efficiency, and resource utilization.
What it changes for you
- Industry & ManufacturingManufacturers can cut energy costs and boost efficiency of embedded AI systems.
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