Meet real-time requirements of parallel programs and maximally utilize system resources

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