BIB-VERSION:: CS-TR-v2.0 ID:: ncstrl.dartmouthcs//TR94-235 ENTRY:: January 20, 1995 ORGANIZATION:: Dartmouth College, Computer Science TITLE:: A DAta-Parallel Programming Library for Education (DAPPLE) TYPE:: Technical Report (paper) REVISION:: 3 AUTHOR:: Kotz, David NOTE:: The 'January' in DATE is an arbitrary placeholder. DATE:: January 1994 RETRIEVAL:: For a paper copy, email RETRIEVAL:: For a paper copy, write to Technical Report Librarian Department of Computer Science Dartmouth College 6211 Sudikoff Laboratory Hanover, NH 03755-3510 USA RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR94-235.ps.Z RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR94-235.pdf ABSTRACT:: In the context of our overall goal to bring the concepts of parallel computing into the undergraduate curriculum, we set out to find a parallel-programming language for student use. To make it accessible to students at all levels, and to be independent of any particular hardware platform, we chose to design our own language, based on a data-parallel model and on C++. The result, DAPPLE, is a C++ class library designed to provide the illusion of a data-parallel programming language on conventional hardware and with conventional compilers. DAPPLE defines Vectors and Matrices as basic classes, with all the usual C++ operators overloaded to provide elementwise arithmetic. In addition, DAPPLE provides typical data-parallel operations like scans, permutations, and reductions. Finally, DAPPLE provides a parallel if-then-else statement to restrict the scope of the above operations to partial vectors or matrices. NOTE:: Full documentation for DAPPLE. NOTE:: A revision of this report appeared in SIGCSE '95. END:: ncstrl.dartmouthcs//TR94-235