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HeteroMosaic Boosts Energy Efficiency in Edge LLM Inference via Heterogeneous Execution
HeteroMosaic is a new approach that optimizes LLM inference on edge SoCs by coordinating CPUs, iGPUs, and NPUs rather than treating them in isolation. This method improves resource utilization and performance on unified-memory platforms by considering both device placement and task-graph coordinati...
HeteroMosaic is a new approach that optimizes LLM inference on edge SoCs by coordinating CPUs, iGPUs, and NPUs rather than treating them in isolation. This method improves resource utilization and performance on unified-memory platforms by considering both device placement and task-graph coordinati...
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Current LLM runtimes underutilize heterogeneous hardware in edge devices, limiting energy efficiency and performance. HeteroMosaic's coordinated execution strategy can enhance edge AI capabilities while reducing power consumption.
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