Aaron Marks

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The advent of Massively Parallel Network of Workstations (MP-NOW) represents an important trend in high performance computing. The rise of interpreted languages (e.g. Visual Basic, MATLAB, IDL, Maple and Mathematica) for algorithm development, prototyping, data analysis and graphical user interfaces (GUIs) represents an important trend in software(More)
This thesis presents and describes a data-parallel programming environment for a loosely-coupled multiprocessor. More speciically, we have designed and implemented CdbC (Cluster Data-parallel Bit-serial C), a high-level data-parallel C on a cluster of virtual shared memory workstations. CdbC is not a compiler, but rather an extension to the language(More)
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