This updated version of Solving Linear Systems on Vector and Shared Memory Computers (SIAM, 1990) discusses major elements of the new advanced-architecture computers and recent developments in the solution of systems of linear equations and eigenvalue algorithms for dense and sparse matrices that are designed to exploit these elements. It updates material on high-performance computers from the previous book, expands on sparse direct and iterative methods for systems of equations, and covers large sparse eigenvalue problems.