Dimensional misalignment slows compressed LLMs on GPUs; GAC uses knapsack optimization to achieve full alignment and up to 1.5x speedup on Llama-3-8B while preserving quality.
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EdgeFlow reduces mobile LLM cold-start latency up to 4.07x versus llama.cpp, MNN, and llm.npu by NPU-aware adaptive quantization, SIMD-friendly packing, and synergistic granular CPU-NPU pipelining at comparable accuracy.
citing papers explorer
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Why Smaller Is Slower? Dimensional Misalignment in Compressed LLMs
Dimensional misalignment slows compressed LLMs on GPUs; GAC uses knapsack optimization to achieve full alignment and up to 1.5x speedup on Llama-3-8B while preserving quality.
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EdgeFlow: Fast Cold Starts for LLMs on Mobile Devices
EdgeFlow reduces mobile LLM cold-start latency up to 4.07x versus llama.cpp, MNN, and llm.npu by NPU-aware adaptive quantization, SIMD-friendly packing, and synergistic granular CPU-NPU pipelining at comparable accuracy.