Data access method and device for parallel FFT (Fast Fourier Transform) computation

A data access and data technology, applied in computing, electrical digital data processing, memory systems, etc., can solve the problems of complex read and write address calculations, and difficulty in implementing parallel FFT algorithms.

Active Publication Date: 2012-04-11
BEIJING SMART LOGIC TECH CO LTD
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Problems solved by technology

This patent requires a dedicated memory, data buffer and selector, and the calculation of read and write addresses is complex, making it difficult to implement parallel FFT algorithms with different data lengths and different read and write granularities

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  • Data access method and device for parallel FFT (Fast Fourier Transform) computation
  • Data access method and device for parallel FFT (Fast Fourier Transform) computation
  • Data access method and device for parallel FFT (Fast Fourier Transform) computation

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0037] The following symbols are agreed upon during the description:

[0038] ■N: FFT data length, must be a power of 2;

[0039] ■B: Parallel granularity bit width, 2 B is the parallel granularity;

[0040] ■G: data group index value bit width, G=log 2 N-B;

[0041] ■g: data group index value;

[0042] ■b: index value within the group.

[0043] In order to realize the read, write and calculation of parallel FFT, first define the parallel granularity 2 B , (B is a positive integer), the parallel granularity refers to the number of data that can be read in parallel from the memory and independently perform butterfly calculations. like Figure 4 As shown in the figure, it is assumed that the FFT data length N=64, an...

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Abstract

The invention provides a data access method and device for parallel FFT (Fast Fourier Transform) computation. The data access method comprises the following steps of: storing FFT computation data and rotating factors in a multi-granularity parallel memory, and grouping the FFT data and the corresponding rotating factors in the whole computation process by using a united butterfly pattern expression, wherein data of each subgroup contain a plurality of butterfly patterns and can be subjected to parallel computation; and simultaneously, generating a data address and a rotating factor coefficient address of each subgroup conveniently according to the butterfly pattern expression, and reading and writing the data and corresponding rotating factors in parallel from the multi-granularity memory according to different reading and writing granularities. The invention also provides a data access device for parallel FFT computation. By utilizing the data access method and device disclosed by the invention, memory conflict cannot be caused in the data reading and writing process, and no extra step is needed for sequencing the read and written data; meanwhile, according to the invention, parallel granularities can be appointed flexibly as specific conditions.

Description

technical field [0001] The invention mainly relates to the field of data access, in particular to a data access method and device for parallel FFT calculation. Background technique [0002] Signal processing systems often need to convert signal content in the time domain and frequency domain, and the Fast Fourier Transform algorithm (FFT) can perform signal conversion between the time domain and the frequency domain. Compared with other conversion algorithms, the fast Fourier transform algorithm has the advantages of uniform structure and less calculation, so it is widely used in signal processing systems. [0003] The FFT algorithm inputs N data and outputs N data; it is generally called the forward transform from the time domain to the frequency domain, and the inverse transform from the frequency domain to the time domain. There are many ways to implement the FFT algorithm, but they are all evolved from the Cooley-Tukey algorithm. For N data points, the Cooley-Tukey alg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/302G06F17/14
Inventor 谢少林林啸蒿杰薛晓军汪涛尹磊祖
Owner BEIJING SMART LOGIC TECH CO LTD
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