Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...

We are all immersed in an incomprehensible abundance of available information, and we can only read or watch or consume some meaningless fraction of it. What we see, and what we don’t see, is heavily ...