Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...

In Part 1, we were just starting to examine a memory method proposed by Jim Albus that used analog encoding to greatly expand memory capacity. Albus hit upon an idea not all that different from that ...