Run-time optimization using dynamic performance prediction

With the rapid expansion in the use of distributed systems the need for optimisation and the steering of application execution has become more important. The unquestionable aim to overcome bottle-neck problems, allocation, and performance degradation due to shared CPU time has prompted many investigations into the best way in which the performance of an application can be enhanced. In this work, we demonstrate the impact of using a Performance Prediction Toolset, PACE, which can be used in Dynamic (On-the-Fly) decision making for optimising application execution. An example application, the FFTW (The Fastest Fourier Transform in the West), is used to illustrate the approach which itself is a novel method that optimises the execution of an FFT. It is shown that performance prediction can provide the same quality of information as a measurement process for application optimisation but in a fraction of the time and thus improving the overall application performance.