MOSAIC is a simulation and DSE framework for heterogeneous NPUs that finds designs achieving 46.91% mean iso-area energy savings over homogeneous baselines on 20 workloads.
XAMBA: Enabling efficient state space models on resource-constrained neural processing units,
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BIDENT is an operator-level scheduling system that models heterogeneous PU assignment as a shortest-path problem on an execution graph and reports speedups up to 1.60x for intra-model parallelism and 3.42x geometric mean for multi-model workloads on an Intel Core Ultra SoC.
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MOSAIC: A Workload-Driven Simulation and Design-Space Exploration Framework for Heterogeneous NPUs
MOSAIC is a simulation and DSE framework for heterogeneous NPUs that finds designs achieving 46.91% mean iso-area energy savings over homogeneous baselines on 20 workloads.
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BIDENT: Heterogeneous Operator-level Mapping for Efficient Edge Inference
BIDENT is an operator-level scheduling system that models heterogeneous PU assignment as a shortest-path problem on an execution graph and reports speedups up to 1.60x for intra-model parallelism and 3.42x geometric mean for multi-model workloads on an Intel Core Ultra SoC.