Relating empirical performance data to achievable parallel application performance
Roy W. Melton, Cecil O. Alford, Philip R. Bingham, Tsai Chi Huang · Parallel and Distributed Processing Techniques and Applications · 1999
Parallel computing offers the best execution performance for many large, compute- intensive applications. Whereas the overall computing requirements of such applications lead to a clear choice of a parallel computing paradigm, the specific suitability of one particular parallel computer versus another for a given application is often less clear. Research is underway to approach this issue of computational suitability by seeking to predict the parallel performance of an application based on the underlying computational metrics of that application and of candidate architectures. This paper presents two case studies where empirical performance data have been used to predict parallel application performance.