Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

I'm getting ready to start working on a C/C++ project that will be building and solving large tri-diagonal, block tri-diagonal and triangular matrices. I know there are a lot of libraries available ...

Japanese computer giant NEC Corp. claims to have developed new data processing technology capable of accelerating machine learning on vector computers by up to 50 times that of the popular Apache ...