This paper presents an automated performance tuning solution, which partitions a program into a number of tuning sections and finds the best combination of compiler options for e...
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 ...
The high cost of locating faults in programs has motivated the development of techniques that assist in fault localization by automating part of the process of searching for fault...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...