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<p>The time-cost behavior of a program directly depends on its execution environment (i.e., the number of other programs in the system). We present techniques to analyze the time-cost behavior of programs that include the effect of their execution environment. It is assumed the underlying system has a shared memory architecture. The paper shows that one can analytically relate a parallel program's time cost to its execution environment. A direct benefit of the work is to let us meet the real-time requirement of a parallel program and utilize maximally a multiprocessor system's resource.</p>
real-time requirements; parallel programs; system resources; time-cost behavior; execution environment; shared memory architecture; multiprocessor system; performance analysis; parallel programming; programming theory; real-time systems; software cost estimation

B. Qin, "Meet Real-Time Requirements of Parallel Programs and Maximally Utilize System Resources," in IEEE Transactions on Software Engineering, vol. 19, no. , pp. 976-981, 1993.
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