CudaFilters: A SignalPlant library for GPU-accelerated FFT and FIR filtering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F18%3A00489552" target="_blank" >RIV/68081731:_____/18:00489552 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/spe.2507" target="_blank" >http://dx.doi.org/10.1002/spe.2507</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/spe.2507" target="_blank" >10.1002/spe.2507</a>
Alternative languages
Result language
angličtina
Original language name
CudaFilters: A SignalPlant library for GPU-accelerated FFT and FIR filtering
Original language description
Signal filtering is one of the essential tasks in signal processing. It may become an extremely time-consuming process, as in the case of intracranial electroencephalogram recordings (eg, 30-min records) with a large number of channels (up to 256) and high sampling frequencies (up to 5kHz in research related to ultra-high-frequency oscillations). The usual way of dealing with time consumption is process parallelization. Moreover, parallelization using graphic processing unit (GPU) allows further shortening of computing times thanks to the large number of GPU cores. This paper describes a library for GPU-accelerated finite impulse response (FIR) and fast Fourier transform (FFT) filteringCudaFilters. This library is designed for SignalPlant softwarea free tool for signal analysis. The resultant acceleration in computing times was 5x to 40x depending on the task, data, and hardware configuration. The results were also compared to computing speeds in Matlab.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Software-Practice & Experience
ISSN
0038-0644
e-ISSN
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Volume of the periodical
48
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
7
Pages from-to
3-9
UT code for WoS article
000417617500001
EID of the result in the Scopus database
2-s2.0-85019946465