Performance results on SAGrid for libsvm training and characterisation studies

Bruce Becker & David Risinamhodzi
The Support Vector Machine library has been used together with sets of data collected during the Lwazi programme at the Meraka Institute, in order to estimate the performance of the South African National Grid (SAGrid) sites in dealing with typical machine-learning tasks. Processing of standard data sets of differing sizes was done on various sites on the infrastructure, and the time needed to conclude tasks such as model training and characterisation measured. This dataset is...
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