NVIDIA TensorRT 如何透過 Global Performance Tuner 擴展單一建置路徑以外的效能最佳化（第一部分）
Scaling NVIDIA TensorRT Performance Optimization Beyond a Single Build Route with the Global Performance Tuner, Part 1
NVIDIA TensorRT 建置引擎時，會對圖形 IR 轉換、融合、實作選擇、記憶體配置及量化等環節作出互相影響的決定，這個過程稱為 scheduling。文章聚焦 Global Performance Tuner，探討如何將 TensorRT 效能最佳化擴展至單一建置路徑以外。
Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For...
Deploying a trained neural network involves more than translating each operator into a GPU kernel. It is a compilation problem with many legitimate answers. For example, when NVIDIA TensorRT builds an engine, it makes interdependent decisions about graph-IR transformations, fusion, implementation selection, memory placement, and quantization. This process is called scheduling.
來源：NVIDIA Technical Blog：Agentic AI / Generative AI · developer.nvidia.com