High performance computing in heterogeneous environments is a dynamically developing area. A number of highly efficient heterogeneous parallel algorithms have been designed over l...
Since cognition could be treated as problem-solving issues based on dynamical knowledge transferring and propagation, the meta-learning and group learning are put forward in confor...
Over the last 2-3 years, the importance of data-intensive computing has increasingly been recognized, closely coupled with the emergence and popularity of map-reduce for developin...
In the age of Grid, Cloud, volunteer computing, massively parallel applications are deployed over tens or hundreds of thousands of resources over short periods of times to complete...
Paxos is a well known algorithm for achieving consensus in distributed environments with uncertain processing and communication timing. Implementations of its variants have been s...
Chryssis Georgiou, Procopis Hadjiprocopiou, Peter ...