Evaluating the performance of FFT library implementations on modern hybrid computing systems
Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-perf...
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Gespeichert in:
| Autor*in: |
Malkovsky, Sergey I. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Springer US, 1987, 77(2021), 8 vom: 20. Jan., Seite 8326-8354 |
|---|---|
| Übergeordnetes Werk: |
volume:77 ; year:2021 ; number:8 ; day:20 ; month:01 ; pages:8326-8354 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11227-020-03591-6 |
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OLC2126673537 |
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| 520 | |a Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. | ||
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10.1007/s11227-020-03591-6 doi (DE-627)OLC2126673537 (DE-He213)s11227-020-03591-6-p DE-627 ger DE-627 rakwb eng 004 620 VZ Malkovsky, Sergey I. verfasserin (orcid)0000-0001-9731-2606 aut Evaluating the performance of FFT library implementations on modern hybrid computing systems 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. Hybrid computing systems IBM POWER Intel Xeon NVIDIA Tesla FFT IBM ESSL FFTW cuFFT cuFFTW Intel MKL Sorokin, Aleksei A. (orcid)0000-0003-3334-3440 aut Tsoy, Georgiy I. (orcid)0000-0002-4209-1284 aut Korolev, Sergey P. (orcid)0000-0002-0002-7540 aut Smagin, Sergey I. aut Kondrashev, Vadim A. (orcid)0000-0002-1224-1392 aut Enthalten in The journal of supercomputing Springer US, 1987 77(2021), 8 vom: 20. Jan., Seite 8326-8354 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:77 year:2021 number:8 day:20 month:01 pages:8326-8354 https://doi.org/10.1007/s11227-020-03591-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT AR 77 2021 8 20 01 8326-8354 |
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10.1007/s11227-020-03591-6 doi (DE-627)OLC2126673537 (DE-He213)s11227-020-03591-6-p DE-627 ger DE-627 rakwb eng 004 620 VZ Malkovsky, Sergey I. verfasserin (orcid)0000-0001-9731-2606 aut Evaluating the performance of FFT library implementations on modern hybrid computing systems 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. Hybrid computing systems IBM POWER Intel Xeon NVIDIA Tesla FFT IBM ESSL FFTW cuFFT cuFFTW Intel MKL Sorokin, Aleksei A. (orcid)0000-0003-3334-3440 aut Tsoy, Georgiy I. (orcid)0000-0002-4209-1284 aut Korolev, Sergey P. (orcid)0000-0002-0002-7540 aut Smagin, Sergey I. aut Kondrashev, Vadim A. (orcid)0000-0002-1224-1392 aut Enthalten in The journal of supercomputing Springer US, 1987 77(2021), 8 vom: 20. Jan., Seite 8326-8354 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:77 year:2021 number:8 day:20 month:01 pages:8326-8354 https://doi.org/10.1007/s11227-020-03591-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT AR 77 2021 8 20 01 8326-8354 |
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10.1007/s11227-020-03591-6 doi (DE-627)OLC2126673537 (DE-He213)s11227-020-03591-6-p DE-627 ger DE-627 rakwb eng 004 620 VZ Malkovsky, Sergey I. verfasserin (orcid)0000-0001-9731-2606 aut Evaluating the performance of FFT library implementations on modern hybrid computing systems 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. Hybrid computing systems IBM POWER Intel Xeon NVIDIA Tesla FFT IBM ESSL FFTW cuFFT cuFFTW Intel MKL Sorokin, Aleksei A. (orcid)0000-0003-3334-3440 aut Tsoy, Georgiy I. (orcid)0000-0002-4209-1284 aut Korolev, Sergey P. (orcid)0000-0002-0002-7540 aut Smagin, Sergey I. aut Kondrashev, Vadim A. (orcid)0000-0002-1224-1392 aut Enthalten in The journal of supercomputing Springer US, 1987 77(2021), 8 vom: 20. Jan., Seite 8326-8354 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:77 year:2021 number:8 day:20 month:01 pages:8326-8354 https://doi.org/10.1007/s11227-020-03591-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT AR 77 2021 8 20 01 8326-8354 |
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Evaluating the performance of FFT library implementations on modern hybrid computing systems |
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Evaluating the performance of FFT library implementations on modern hybrid computing systems |
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Malkovsky, Sergey I. |
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Malkovsky, Sergey I. Sorokin, Aleksei A. Tsoy, Georgiy I. Korolev, Sergey P. Smagin, Sergey I. Kondrashev, Vadim A. |
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evaluating the performance of fft library implementations on modern hybrid computing systems |
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Evaluating the performance of FFT library implementations on modern hybrid computing systems |
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Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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Abstract Fast Fourier transform is widely used to solve numerous scientific and engineering problems. In particular, this transform is behind the software dealing with speech and image recognition, signal analysis, modeling of properties of new materials and substances, etc. Newly emerging high-performance hybrid computing systems, as well as systems with alternative architectures, require research on discrete Fourier transform computation efficiency on these new platforms. The results of such research allow assessing the feasibility of certain solutions for building modern computing and data processing centers. This paper presents the results of such research covering modern hybrid computing systems based on the IBM POWER and Intel Xeon processors, as well as on NVIDIA Tesla co-processors. The analysis is carried out, and conclusions are presented on their performance when executing fast Fourier transforms. The impact of the existing architectural aspects of the hardware (CPU simultaneous multithreading mode, GPU data transfer bus, etc.) on the transform performance efficiency is assessed. The obtained results are used to provide recommendations on the optimal operation modes and settings of the considered mathematical libraries. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 |
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Evaluating the performance of FFT library implementations on modern hybrid computing systems |
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