Soft-core Stream Processing on FPGA: An FFT Case Study

Peng Wang; John McAllister; Yun Wu

doi:10.1109/ICASSP.2013.6638158

Soft-core Stream Processing on FPGA: An FFT Case Study

Peng Wang, John McAllister, Yun Wu

Research output: Contribution to conference › Paper › peer-review

11 Citations (Scopus)

Abstract

The increasing design complexity associated with modern Field Programmable Gate Array (FPGA) has prompted the emergence of 'soft'-programmable processors which attempt to replace at least part of the custom circuit design problem with a problem of programming parallel processors. Despite substantial advances in this technology, its performance and resource efficiency for computationally complex operations remains in doubt. In this paper we present the first recorded implementation of a softcore Fast-Fourier Transform (FFT) on Xilinx Virtex FPGA technology. By employing a streaming processing architecture, we show how it is possible to achieve architectures which offer 1.1 GSamples/s throughput and up to 19 times speed-up against the Xilinx Radix-2 FFT dedicated circuit with comparable cost.

Original language	English
Pages	2756 - 2760
Number of pages	5
DOIs	https://doi.org/10.1109/ICASSP.2013.6638158
Publication status	Published - May 2013
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing 2013 - Vancouver, Canada Duration: 26 May 2013 → 31 May 2013 https://doi.org/10.1109/ICASSP16080.2013

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing 2013
Abbreviated title	ICASSP 2013
Country/Territory	Canada
City	Vancouver
Period	26/05/2013 → 31/05/2013
Internet address	https://doi.org/10.1109/ICASSP16080.2013

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10.1109/ICASSP.2013.6638158

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6638158

R1128CSC: Softcore Streaming Processors for FPGA DSP
McAllister, J. (PI) & Woods, R. (CoI)
01/08/2009 → 28/02/2014
Project: Research

Cite this

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abstract = "The increasing design complexity associated with modern Field Programmable Gate Array (FPGA) has prompted the emergence of 'soft'-programmable processors which attempt to replace at least part of the custom circuit design problem with a problem of programming parallel processors. Despite substantial advances in this technology, its performance and resource efficiency for computationally complex operations remains in doubt. In this paper we present the first recorded implementation of a softcore Fast-Fourier Transform (FFT) on Xilinx Virtex FPGA technology. By employing a streaming processing architecture, we show how it is possible to achieve architectures which offer 1.1 GSamples/s throughput and up to 19 times speed-up against the Xilinx Radix-2 FFT dedicated circuit with comparable cost.",

author = "Peng Wang and John McAllister and Yun Wu",

year = "2013",

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doi = "10.1109/ICASSP.2013.6638158",

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AU - Wu, Yun

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N2 - The increasing design complexity associated with modern Field Programmable Gate Array (FPGA) has prompted the emergence of 'soft'-programmable processors which attempt to replace at least part of the custom circuit design problem with a problem of programming parallel processors. Despite substantial advances in this technology, its performance and resource efficiency for computationally complex operations remains in doubt. In this paper we present the first recorded implementation of a softcore Fast-Fourier Transform (FFT) on Xilinx Virtex FPGA technology. By employing a streaming processing architecture, we show how it is possible to achieve architectures which offer 1.1 GSamples/s throughput and up to 19 times speed-up against the Xilinx Radix-2 FFT dedicated circuit with comparable cost.

AB - The increasing design complexity associated with modern Field Programmable Gate Array (FPGA) has prompted the emergence of 'soft'-programmable processors which attempt to replace at least part of the custom circuit design problem with a problem of programming parallel processors. Despite substantial advances in this technology, its performance and resource efficiency for computationally complex operations remains in doubt. In this paper we present the first recorded implementation of a softcore Fast-Fourier Transform (FFT) on Xilinx Virtex FPGA technology. By employing a streaming processing architecture, we show how it is possible to achieve architectures which offer 1.1 GSamples/s throughput and up to 19 times speed-up against the Xilinx Radix-2 FFT dedicated circuit with comparable cost.

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DO - 10.1109/ICASSP.2013.6638158

M3 - Paper

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T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing 2013

Y2 - 26 May 2013 through 31 May 2013

ER -

Soft-core Stream Processing on FPGA: An FFT Case Study

Abstract

Conference

UN SDGs

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R1128CSC: Softcore Streaming Processors for FPGA DSP

Cite this