Practical parallel programming

Abstract

Part 1 Fundamentals: basic architectural ideas classifying architectures some example applications decomposition techniques terms and measures. Part 3 Data parallelism: basic operations an inside-out syntax other data-parallel operations automatic parallelization controlling and exploiting data placement discussion. Part 3 Shared variables: creating and coordinating processes practical synchronization mechanisms futures caching scheduling and mapping parallel programmes parallel I/O systems discussion. Part 4 Message passing: channels the crystalline model procedural message-passing systems watching programmes run discussion. Part 5 Generative communication: the generative model managing data structures in Tuple space active data structures message passing through Tuple space implementing generative communication enhancing generative communication some other high-level alternatives discussion. Appendices: the Fortran-K programming language a short history lesson recommended reading.