| Robert Kennedy is a PhD Candidate at Florida Atlantic University. He is completing a PhD in Computer Science and joined the HPCC Systems Intern program for the third year running in 2020. During his internships, Robert has focused on machine learning projects relating to neural networks and has been using HPCC Systems with TensorFlow.
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Poster Abstract
HPCC Systems Platform leverages many commodity computers to perform high performance computing tasks. The underlying hardware traditionally only provide a CPU for the actual computations and communicate with other member computers via networking protocols. This approach has proven to be very effective for many demanding applications. However, training large neural networks–or Deep Learning–is best benefited by utilizing hardware acceleration for the bulk of the computationally expensive tasks.
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