EVON: AN EXTENDED VON NEUMANN MODEL FOR PARALLEL PROCESSING.

The author proposes an extended von Neumann model called Evon for parallel processing. It is centrally controlled, and is capable of exploiting instruction-level as well as expression-level parallelism inherent in high-level language programs. Its effectiveness in exploiting parallelism depends crucially on powerful primitives, and the author illustrates this point by several short programming examples written in APL. A report is then presented on work on the design of an instruction set embodying the Evon model, and a portable compiler for that instruction set aimed at extracting parallelism automatically. Finally, a comparison is made of Evon with other computational models and architectures proposed for parallel processing with pragmatic considerations and programming concerns.