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Kiwi Scientific Acceleration on FPGA

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If you have a question about this talk, please contact David Greaves.

Many problems in scientific computing can be accelerated using FPGA or GPU execution resources. The FPGA approach, in particular, also generally yields a significant saving in execution energy. Several cloud service providers now provide FPGA platforms, but problems remain with virtualisation and usability.

This seminar will describe some current approaches to harnessing FPGA as a total or partial replacement for the Von Neumann architecure with emphasis on the Kiwi system that accelerates C# and other dotnet languages.

Keywords: High-level synthesis.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

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