Modern transactional response-time sensitive applications have run into practical limits on the size of garbage collected heaps. The heap can only grow until GC pauses exceed the ...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
Increasing demand for larger high-performance applications requires developing more complex systems with hundreds of processing cores on a single chip. To allow dynamic voltage sc...
We present a contribution on dynamic load balancing for distributed and parallel object-oriented applications. We specially target on peer to peer systems and its capability to di...
Background: To develop protein therapeutics from exogenous sources, it is necessary to mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the ...
Andrew S. Parker, Wei Zheng, Karl E. Griswold, Chr...