Purpose : Perform matrix multiplication between two input SAS datasets containing only numeric variables. The macro extracts numeric columns, validates dimensions, and outputs the resulting product ...

An artificial intelligence created by the firm DeepMind has discovered a new way to multiply numbers, the first such advance in over 50 years. The find could boost some computation speeds by up to 20 ...

This is a project that is supposed to demonstrate how a greater amount of processing power and resources impacts the speed of basic matrix multiplication of arrays with varying sizes. You can find the ...

Abstract: Efficient multiple precision linear numerical computation libraries such as MPLAPACK are critical in dealing with ill-conditioned problems. Specifically, there are optimization methods for ...

Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...