Model management is an approach to simplify the programming of metadata-intensive applications. It offers developers powerful operators, such as Compose, Diff, and Merge, that are...
Sergey Melnik, Philip A. Bernstein, Alon Y. Halevy...
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
We present a technique to approximate the worst-case execution time that combines structural analysis with a loop-bounding algorithm based on local induction variable analysis. St...
Reconfigurable systems can offer the high spatial parallelism and fine-grained, bit-level resource control traditionally associated with hardware implementations, along with the f...
With the emergence of commodity multicore architectures, exploiting tightly-coupled parallelism has become increasingly important. Functional programming languages, such as Haskel...
Abdallah Al Zain, Kevin Hammond, Jost Berthold, Ph...