A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
In order to achieve practical efficient execution on a parallel architecture, a knowledge of the data dependencies related to the application appears as the key point for building...
Metacomputing frameworks have received renewed attention of late, fueled both by advances in hardware and networking, and by novel concepts such as computational grids. However the...
Mauro Migliardi, Jack Dongarra, Al Geist, Vaidy S....
The need to parallelise desktop applications is becoming increasingly essential with the mainstream adoption of multi-cores. In object-oriented languages, sequential iterators han...
of ‘‘network computers’’ is inherently lessAbstract predictable than that of more traditional distributed memory systems, such as hypercubes [22], since both theFor computa...