The zJava project aims to develop automatic parallelization technology for programs that use pointer-based dynamic data structures, written in Java. The system exploits parallelism among methods by creating an asynchronous thread of execution for each method invocation in a program. At compile-time, methods are analyzed to determine the data they access, parameterized by their context. A description of these data accesses is transmitted to a run-time system during program execution. The run-time system utilizes this description to determine when an invoked method may execute as an independent thread. The goal of this paper is to describe this run-time component of the zJava system and to report initial experimental results. In particular, the paper describes how the results of compile-time analysis are used at run-time to detect and enforce dependences among threads. Experimental results on a 4-processor Sun multiprocessor indicate that linear speedup may be obtained on sample applications and hence, validate our approach.
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