Abstract
AbstractIn this paper, we present a software tool, RTS (real time simulator), that analyses the time cost behaviour of parallel computations through simulation. It is assumed in RTS that the computer system which supports the executions of parallel computations has a limited number of processors all processors have the same speed and they communicate with each other through a shared memory. In RTS, the time cost of a parallel computation is defined as a function of the input, the algorithm, the data structure, the processor speed, the number of processors, the processor power allocation, the communication and the execution environment. How RTS models the time cost is first discussed in the paper. In the model, a locking technique is used to manipulate the access to the shared memory, processing power is equally allocated among all the operations that are currently being performed in parallel in the computer system, and the number of operations in the execution environment of a parallel computation changes from time to time. How RTS works and how the simulation is used to do time cost analysis are also discussed.
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