Optimisation of application execution on dynamic systems

In this paper, we demonstrate the impact of using a dynamic (on-the-fly) performance prediction tool-set, PACE, for optimising application execution on dynamic systems. The need for steering the application execution arises from the ever-growing use of distributed and GRID systems, The unquestionable aim to overcome bottleneck 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 present a novel approach to dynamically optimise the performance of an application. 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. (C) 2001 Elsevier Science B.V. All rights reserved