Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
When using a shared memory multiprocessor, the programmer faces the selection of the portable programming model which will deliver the best performance. Even if he restricts his c...
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Software constantly undergoes changes throughout its life cycle, and thereby it evolves. As changes are introduced into a code base, we need to make sure that the effect of the ch...
Overlapping communication with computation is an important optimization on current cluster architectures; its importance is likely to increase as the doubling of processing power ...
Wei-Yu Chen, Dan Bonachea, Costin Iancu, Katherine...