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Orca is a simple, imperative parallel programming language, based on a form of distributed shared memory called shared data-objects. This paper discusses the suitability of Orca for parallel symbolic programming. Orca was not designed specifically for this application area, and it lacks several features supported in many languages for symbolic parallel computing, such as futures, automatic load balancing,...
Clusters of workstations are often claimed to be a good platform for parallel processing, especially if a fast network is used to interconnect the workstations. Indeed, high performance can be obtained for low-level message passing primitives on modern networks like ATM and Myrinet. Most application programmers, however, want to use higher level communication primitives. Unfortunately, implementing...
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