English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present an improvement of our implementation of the Correlation Techniquefor the Fourier Domain Acceleration Search (FDAS) algorithm on GraphicsProcessor Units (GPUs) (Dimoudi & Armour 2015; Dimoudi et al. 2017). Our newimproved convolution code which uses our custom GPU FFT code is between 2.5 and3.9 times faster the than our cuFFT-based implementation (on an NVIDIA P100)and allows for a wider range of filter sizes then our previous version. Byusing this new version of our convolution code in FDAS we have achieved 44%performance increase over our previous best implementation. It is alsoapproximately 8 times faster than the existing PRESTO GPU implementation ofFDAS (Luo 2013). This work is part of the AstroAccelerate project (Armour etal. 2002), a many-core accelerated time-domain signal processing library forradio astronomy.

Improved Acceleration of the GPU Fourier Domain Acceleration Search Algorithm