A Hybrid Parallel Implementation of Model Selection for Support Vector Machines

This paper describes dSTEP, a directive-based programming model for hybrid shared and distributed memory machines. The originality of our work is the definition and an implementation of a unified high-level programming model addressing both data and ...

Clusters of shared-memory multiprocessors (SMPs) have become the most promising parallel computing platforms for scientific computing. However, SMP clusters significantly increase the complexity of user application development when using the low-level ...

Clusters of SMPs are hybrid-parallel architectures that combine the main concepts of distributed-memory and shared-memory parallel machines. Although SMP clusters are widely used in the high performance computing community, there exists no single ...