Performance Evaluation of Applications for Heterogeneous Systems by means of Performance Probes
This work describes a novel way to select the best computer node out of a pool of available potentially heterogeneous computing nodes for the execution of computational tasks. This is a very basic and difficult problem of computer science and computing centres tried to get around it by using only homogeneous compute clusters. Usually this fails as like any technical equipment, clusters get extended, adapted or repaired over time, and you end up with a heterogeneous configuration.
 Eduardo Argollo and Emilio Luque. Performance prediction and tuning in a multi-cluster environment. Ph.D. Dissertation, Oct 2006.
 J Barbosa, J Tavares, and A.J Padilha. Linear algebra algorithms in heterogeneous cluster of personal
computers. hcw, 00:147, 2000.
 P. Fritzsche. Podemos Predecir en Algoritmos Paralelos no Deterministas? Ph.D. dissertation, 2007.