High-end parallel systems present a tremendous research challenge on how to best allocate their resources to match dynamic workload characteristics and user habits that are often ...
Reconfigurable computing systems have already shown their abilities to accelerate embedded hardware/ software systems. Since standard processor-based embedded applications have co...
In this paper we present the design, implementation and evaluation of a runtime system based on collective I/O techniques for irregular applications. We present two models, namely...
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
A semi-dynamic system is presented that is capable of predicting the performance of parallel programs at runtime. The functionality given by the system allows for efficient handl...