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 ...

Numerical Computation Library 🧮 A comprehensive Python library implementing fundamental numerical computation algorithms from linear algebra, polynomial interpolation, regression analysis, and root ...