Machine Learning Achieves Runtime Optimisation For GEMM With Dynamic Thread Selection
General Matrix Multiplication (GEMM) forms a cornerstone of modern scientific computing, yet achieving peak performance on multi-core systems remains a...
dynamic
A deep learning-based meteorological factors forecast and dynamic risk assessment approach for built cultural heritage
With the advancement of information technology, it has become possible to investigate preventive conservation for built heritage using IoTs, big...
