Giuseppe Ripepi

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Current workstations can offer really amazing raw computational power: up to 10 TFlops on a single machine equipped with multiple CPUs and accelerators as the Intel Xeon Phi or GPU devices. Such results can only be achieved with a massive parallelism of computational devices, thus the actual barrier posed by the exploitation of modern heterogeneous HPC(More)
The Model Selection (MS) is an important part of any statistical analysis, and for Support Vector Machine becomes crucial in order to reach the best performance. However, the MS is a compute intensive and non-convex problem, therefore an efficient parallelization is highly desirable. For this reason, in this work we compare two different approaches in MS(More)
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