A GPU Implementation of the Correlation Technique for Real-time Fourier Domain Pulsar Acceleration Searches
A GPU Implementation of the Correlation Technique for Real-time Fourier Domain Pulsar Acceleration Searches
复制标题
实时傅里叶域脉冲星加速搜索相关技术的 GPU 实现
DOI：
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发表时间：
2018
影响因子：
8.7
通讯作者：
W. Armour
中科院分区：
文献类型：
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作者：
S. Dimoudi;K. Adámek;P. Thiagaraj;S. Ransom;A. Karastergiou;W. Armour
二进制脉冲组织的研究可以进行一般可靠性。昂贵，以及下一代仪器（例如平方公里阵列）实时生产的大量数据加速搜索又需要使用高性能计算（HPC）平台。作为在傅立叶域中具有多个有限脉冲响应（FIR）过滤器的卷积。在GPU上应用快速的傅立叶变换（FFT），第二个包含GPU共享内存中的自定义FFT实现。滤波器大小也比现有的GPU和FDA的OpenMP实现快4-6倍。加速射电信号处理库，用于射电天文学。
The study of binary pulsars enables tests of general relativity. Orbital motion in binary systems causes the apparent pulsar spin frequency to drift, reducing the sensitivity of periodicity searches. Acceleration searches are methods that account for the effect of orbital acceleration. Existing methods are currently computationally expensive, and the vast amount of data that will be produced by next-generation instruments such as the Square Kilometre Array necessitates real-time acceleration searches, which in turn requires the use of high-performance computing (HPC) platforms. We present our implementation of the correlation technique for the Fourier Domain Acceleration Search (FDAS) algorithm on Graphics Processor Units (GPUs). The correlation technique is applied as a convolution with multiple finite impulse response (FIR) filters in the Fourier domain. Two approaches are compared: the first uses the NVIDIA cuFFT library for applying Fast Fourier transforms (FFTs) on the GPU, and the second contains a custom FFT implementation in GPU shared memory. We find that the FFT shared-memory implementation performs between 1.5 and 3.2 times faster than our cuFFT-based application for smaller but sufficient filter sizes. It is also 4–6 times faster than the existing GPU and OpenMP implementations of FDAS. This work is part of the AstroAccelerate project, a many-core accelerated time-domain signal-processing library for radio astronomy.