Abstract:
The use of reconfigurable hardware to perform high precision operations such as IEEE floating point operations has been limited in the past by FPGA resources. We discuss ...Show MoreMetadata
Abstract:
The use of reconfigurable hardware to perform high precision operations such as IEEE floating point operations has been limited in the past by FPGA resources. We discuss the implementation of IEEE single precision floating-point multiplication and addition. Then, we assess the practical implications of using these operations in the Xilinx 4000 series FPGAs considering densities available now and scheduled for the near future. For each operation, we present space requirements and performance information. This is followed by a discussion of an algorithm, matrix multiplication, based on these operations, which achieves performance comparable to conventional microprocessors. Algorithm implementation options and their performance implications are discussed and corresponding measured results are given.
Published in: Proceedings. IEEE Symposium on FPGAs for Custom Computing Machines (Cat. No.98TB100251)
Date of Conference: 17-17 April 1998
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-8900-5