Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
Given a set of n query points in a general metric space, a metricspace skyline (MSS) query asks what are the closest points to all these query points in the database. Here, consid...
The Cell Broadband Engine (Cell BE) is a heterogeneous multi-core processor specifically designed to exploit thread-level parallelism. Its memory model comprehends a common shared ...
A popular approach to guarantee fault tolerance in safety-critical applications is to run the application on two processors. A checkpoint is inserted at the completion of the prim...
Debugging data races in parallel applications is a difficult task. Error-causing data races may appear to vanish due to changes in an application's optimization level, thread...
Paul Sack, Brian E. Bliss, Zhiqiang Ma, Paul Peter...