Abstract
In the Aurora distributed shared data system, the programmer instantiates shared-data objects and uses scoped behavior to incrementally tune applications on a per-object and per-context basis. A class library implements shared-data objects as abstract data types and scoped behavior implements the optimizations within standard C++. Using a network of workstations connected by an ATM switch, the author demonstrates that Aurora performs comparably to message passing.
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