The dynamic analysis of multibody systems has been significantly advanced through the application of the Transfer Matrix Method (TMM), a robust tool that facilitates the study of complex ...

Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes or ...

Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These applications process ...

Matrix multiplication is an important topic of linear algebra and is something that is not intuitive as you might think. When you think about multiplication and matrix, the thing that comes to your ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...