Kendall, Ricky A.; Sosonkina, Masha; Gropp, William D.; Numrich, Robert W.; Sterling, Thomas Parallel programming models applicable to cluster computing and beyond. (English) Zbl 1112.68342 Bruaset, Are Magnus (ed.) et al., Numerical solution of partial differential equations on parallel computers. Berlin: Springer (ISBN 3-540-29076-1/pbk). Lecture Notes in Computational Science and Engineering 51, 3-54 (2006). Summary: This chapter centers mainly on successful programming models that map algorithms and simulations to computational resources used in high-performance computing. These resources range from group-based or departmental clusters to high-end resources available at the handful of supercomputer centers around the world. Also covered are newer programming models that may change the way we program high-performance parallel computers.For the entire collection see [Zbl 1084.65001]. MSC: 68N19 Other programming paradigms (object-oriented, sequential, concurrent, automatic, etc.) Keywords:high-performance parallel computers Software:NWChem; SPARSKIT; PETSc; CoArray; ITSOL; BSPlib; pARMS PDFBibTeX XMLCite \textit{R. A. Kendall} et al., Lect. Notes Comput. Sci. Eng. 51, 3--54 (2006; Zbl 1112.68342)