Symmetric non-negative matrix factorization (Sym-NMF) decomposes a high-dimensional symmetric non-negative matrix into a low-dimensional non-negative matrix and has been successfully used in graph ...

Sparse matrix vector multiplications (SpMVs) are typical sparse operations which have a high ratio of memory reference volume to computations. According to the roof-line model, the performance of such ...

This project, written in the C language, was created in the academic context of Advanced Data Structures, taken at the Polytechnic Institute of Cávado and Ave. The project is focused on implementing ...