Certain applications, such as automated driving, require low latency small matrix-matrix multiplication in real time. They use specialized libraries that can be customized for small matrix operations.

Most traditional high-performance computing applications focus on computations on very large matrices. Think seismic analysis, weather prediction, structural analysis. But today, with advances in deep ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...