Floating Point FPGA Architectures

Summary

This project involves the development of FPGA architectures which are optimised for floating point applications.

Supervisor(s)

Associate Professor Philip Leong, Associate Professor Craig Jin, Dr Alistair McEwan

Research Location

Electrical and Information Engineering

Program Type

PHD

Synopsis

Existing FPGA devices, such as those commercially available from vendors such as Altera and Xilinx, are designed so that they can be used for a wide range of applications. In this research, the circuit design of domain-specific FPGA architectures optimised for floating point will be studied.  In particular, issues such as which coarse-grained blocks for high floating point performance while maintaining flexibility, how to map designs to floating point blocks, benchmarks, and the interface between general resources and floating point resources will be studied. There are many advantages to this approach including improved power consumption, higher transistor density and better performance. Moreover, translation of algorithms to fixed-point is not required, greatly reducing design and verification time. Applications include signal processing, financial engineering, control and scientific computing.

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Keywords

FPGA, reconfigurable computing, computer architecture, VLSI design, integrated circuits, computer arithmetic

Opportunity ID

The opportunity ID for this research opportunity is: 1059

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