Title :
An optimizing compiler for an SPAP architecture using AI tools
Author :
Azaria, Helnye ; Dvir, Adrian
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fDate :
6/1/1992 12:00:00 AM
Abstract :
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.<>
Keywords :
knowledge based systems; mathematics computing; program compilers; AI tools; KBS; SPAP architecture; high-level language; low-level microcode; mathematical operations; numerical computation; optimizing compiler; special-purpose array processor; Algorithm design and analysis; Artificial intelligence; Bridges; Computer architecture; High level languages; Iterative algorithms; Optimizing compilers; Robots; Testing; Very large scale integration;
