Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
One of the attractive features of Grid computing is that resources in geographically distant places can be mobilized to meet computational needs as they arise. A particularly chal...
As the number of resources on the Grid tends to be very dynamic and potentially large, it becomes increasingly important to discover and monitor them efficiently. This paper conce...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
In grid computing systems, providing fault-tolerance is required for both scientific computation and file-sharing to increase their reliability. In previous works, several mechani...
Sangho Yi, Derrick Kondo, Bongjae Kim, Geunyoung P...
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...