When parallelising a program, a common method is for a programmer to determine areas suitable for parallel execution themselves. With tools like PVM (Parallel Virtual Machine), Linda, Orca and Concurrent C, this is fairly easy, but there is a great reliance on the programmer to know what is available in terms of resources. As well as breaking a program up into parallel components, a decision as what platform the resultant program will execute on has to be decided. A distributed operating system has an advantage over other operating systems through the simple yet powerful mechanisms provided. Designing and implementing a compiler that can detect areas of possible parallelisation, automatically and utilise resources made available in a distributed computing system are the main goals of this research. By using such a compiler, parallel execution can and will become more widely used. Without the need for programmers to be retrained or re-taught to program in a parallel manner. The uptake of distributed systems will also benefit because of low cost per performance ratio that is inherent in such a system.- iii-
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