C++ and Massively Parallel Computers

Authors:
Daniel J. Lickly;Philip J. Hatcher
Affiliations:
Department of Computer Science, University of New Hampshire, Durham, NH 03824;Department of Computer Science, University of New Hampshire, Durham, NH 03824
Venue:
Scientific Programming - The First Annual Object-Oriented Numerics Conference (OON-SKI '93)
Year:
1993

Citing 5
Cited 0

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Abstract

Our goal is to apply the software engineering advantages of object-oriented programming to the raw power of massively parallel architectures. To do this we have constructed a hierarchy of C++ classes to support the data-parallel paradigm. Feasibility studies and initial coding can be supported by any serial machine that has a C++ compiler. Parallel execution requires an extended Cfront, which understands the data-parallel classes and generates C* code. (C* is a data-parallel superset of ANSI C developed by Thinking Machines Corporation). This approach provides potential portability across parallel architectures and leverages the existing compiler technology for translating data-parallel programs onto both SIMD and MIMD hardware.