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ABSTRACT
<p>A methodology that allows users to efficiently bridge the gap between high-level language and low-level microcode when implementing intensive mathematical operations and manipulations algorithms is discussed. The use of an optimized special-purpose array processor (SPAP) architecture for numerical computation and a host microprocessor for nonnumerical computation operations is described. The advantages of the optimizing compiler, the target architecture, and the compiler's implementation using AI tools are examined.</p>
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CITATION
Adrian Dvir, Helnye Azaria, "An Optimizing Compiler for an SPAP Architecture Using AI Tools", Computer, vol. 25, no. , pp. 39-48, June 1992, doi:10.1109/2.153256
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