This project determines optimal sample sizes for spatial sampling by analyzing the statistical divergence between population and sample distributions. It uses KL (Kullback-Leibler) divergence to ...

Abstract: To improve the overloading resistibility of the electrothermal U-shaped actuator, this article employs size and topology optimization to realize the multiobjective optimization of the ...

Large-scale model training focuses on improving the efficiency and scalability of neural networks, especially in pre-training language models with billions of parameters. Efficient optimization ...

Abstract: Reducing code size is critical for software systems with limited storage. The open-source compiler LLVM provides compilation option sequences that generate binaries of varying sizes when ...