Training Support Vector Machines on Parallel Architectures

The parallel solution of the large quadratic programming problem arising in training support vector machines is analysed. Some improvements to a recent decomposition technique are discussed. The effectiveness of the proposed approach is evaluated by solving large-scale benchmark problems on different parallel architectures