Imperial College London > Talks@ee.imperial > CAS Talks > Feasibility of accelerating random forest using FPGA

Feasibility of accelerating random forest using FPGA

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If you have a question about this talk, please contact Grigorios Mingas.

In the talk I will briefly report the early stage investigation on FPGA acceleration of random forest, a class of classifiers that has shown advantage in applications of general objects recognition. The investigation tries to explain why the acceleration is necessary, whether FPGA platforms are suitable and the potential challenges to be addressed during the development.

This talk is part of the CAS Talks series.

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