Big Data Analytics Using FPGAs

Primary supervisor

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Funding

  • Directly Funded Project (European/UK Students Only)
This research project has funding attached. Funding for this project is available to citizens of a number of European countries (including the UK). In most cases this will include all EU nationals. However full funding may not be available to all applicants and you should read the full department and project details for further information.

Project description

Background
Large modern FPGAs provide more than 3000 dedicated multiplier blocks that can run at a speed of up to 500 MHz and the aggregated internal memory throughput can reach many terabytes per second. In the APT group, we are currently building an FPGA-based big data analytics machine that will harness the compute power of 2 large FPGAs, the aggregated throughput and capacity of 48 fast SSDs and a networking speed of 8 10Gb optical interconnects in a desktop form factor.

The goal of the project is to develop big data analytics applications for our new data analytics machine. The exact algorithms/application can be self-defined or will be given. Tasks may include, for example, histogram computation, text analytics, data clustering and/or data ranking and/or skyline queries (i.e. computing a Pareto-optimal data set).

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