Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
The Grid and agent communities both develop concepts and mechanisms for open distributed systems, albeit from different perspectives. The Grid community has historically focused o...
Ian T. Foster, Nicholas R. Jennings, Carl Kesselma...
Application execution time prediction is of key importance in making decisions about efficient usage of Grid resources. Grid services lack support of a generic application executi...
Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prod...
Peer-to-peer computing paradigm is emerging as a scalable and robust model for sharing media objects. In this paper, we propose an architecture and describe the associated algorit...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruction-level parallelism (ILP) from individual applications or threads is still a ...