About the Book
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 62. Chapters: Qt, Xerces, Microsoft Foundation Class Library, Algorithmic skeleton, Boost C++ Libraries, VTD-XML, Object Windows Library, Crypto++, STLSoft C++ Libraries, BALL, OGRE, Effi, WxWidgets, Intel Threading Building Blocks, Open Inventor, Database Management Library, Orfeo toolbox, POCO C++ Libraries, D-Bus, Poppler, SymbolicC++, Juce, Gtkmm, Pantheios, ODB, Boehm garbage collector, Integrated Performance Primitives, Windows Template Library, IT++, CGAL, Metakit, Adaptive Communication Environment, GDAL, Intel Array Building Blocks, CTPP, ATL Server, JX Application Framework, Active Template Library, Armadillo, Gosu, MAGMA, Matrix Template Library, Rich Booleans, Apache C++ Standard Library, Kakadu, Borland Graphics Interface, CodeSynthesis XSD/e, SmartWin++, OpenImageIO, LEMON, ModAssert, Libsigc++, Glish, Loki, UquoniTest, CppUnit, GiNaC, Podofo, LibLAS, Blitz++, Iterative Template Library, Stapl, ZThreads, CPPSERV, ClanLib, Simple and Fast Multimedia Library, PLIB, UnitTest, Botan, PTK Toolkit, Libarc, Asio C++ library, Open Asset Import Library, Sound Object Library, GDCM, C++/Tcl, LIVE555, Dinkumware, AT&T FSM Library, HOOPS 3D Graphics System, Artefaktur, AnyDBM, Libx, RWTH FSA Toolkit, Unit++, Oracle Template Library, Xcas, GNU Nana, GoFigure2, LiteSQL, Object-oriented Abstract Type Hierarchy, LinBox, Cinder, YAAF. Excerpt: In computing, algorithmic skeletons (a.k.a. Parallelism Patterns) are a high-level parallel programming model for parallel and distributed computing. Algorithmic skeletons take advantage of common programming patterns to hide the complexity of parallel and distributed applications. Starting from a basic set of patterns (skeletons), more complex patterns can be built by combining the basic ones. The most outstanding feature of algorithmic skeletons, which differentiates them from other high-leve...