@Article{Janna:2014:FSP,
  author =       "Carlo Janna and Massimiliano Ferronato and Flavio Sartoretto and Giuseppe Gambolati",
  title =        "{FSAIPACK}: a software package for high performance 
                  {Factored} {Sparse} {Approximate} {Inverse} preconditioning",
  journal =      "{ACM} Transactions on Mathematical Software",
  volume  =      41,
  number  =      2,
  accepted =     "4 May 2014",
  upcoming =     "true", 
  abstract =     "
                  The Factorized Sparse Approximate Inverse (FSAI) is an
                  efficient technique for preconditioning parallel solvers of
                  symmetric positive definite sparse linear systems. The key
                  factor controlling FSAI efficiency is the identification
                  of an appropriate non-zero pattern. Currently,
                  several strategies have been proposed for building
                  such a non-zero pattern, using both static and dynamic
                  techniques. This paper describes a fresh software package,
                  called FSAIPACK, which we developed for shared memory
                  parallel machines. It collects all available algorithms
                  for computing FSAI preconditioners. FSAIPACK allows for
                  combining different techniques according to any specified
                  strategy, hence enabling the user to thoroughly exploit the
                  potential of each preconditioner, in solving any peculiar
                  problem. FSAIPACK is freely available as a compiled library
                  at http://www.dmsa.unipd.it/∼janna/software.html,
                  together with an open-source command language
                  interpreter. By writing a command ASCII file, one can
                  easily perform and test any given strategy for building an
                  FSAI preconditioner. Numerical experiments are discussed
                  in order to highlight the FSAIPACK features and evaluate
                  its computational performance.",
}