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Browse: Home, Abstracts, Winners and runners up, Awards Ceremony (Watch Recording
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), Posters by HPCC Systems Interns, Posters by Academic Partners, Poster Judges, Virtual Judging, Virtual Poster Booths
| 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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This poster presents the results of my Summer 2020 internship project that expands HPCC Systems and its General Neural Network (GNN) bundle by leveraging multiple GPUs that span across a cluster. Using hardware acceleration with the GNN bundle allows the ECL machine learning developer to drastically reduce training time. Further, this work is not limited to one GPU nor one physical computer. This work demonstrates that it is now possible to spread GNN computations over multiple GPUs either multiple GPUs in one machine or across multiple GPUs across multiple machines.
Presentation
In this Video Recording, Robert provides a tour and explanation of his poster content.
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