Near Memory Acceleration on High Resolution Radio Astronomy Imaging

Stefano Corda; Bram Veenboer; Ahsan Javed Awan; Akash Kumar; Roel Jordans; Henk Corporaal

doi:10.1109/MECO49872.2020.9134089

Near Memory Acceleration on High Resolution Radio Astronomy Imaging

Stefano Corda, Bram Veenboer, Ahsan Javed Awan, Akash Kumar, Roel Jordans, Henk Corporaal

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

5 Citaten (Scopus)

Samenvatting

Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-time exabytes of radio-astronomical signals to construct a high-resolution map of the sky. Near-Memory Computing (NMC) could alleviate the performance bottlenecks due to frequent memory accesses in a state-of-the-art radio-astronomy imaging algorithm. In this paper, we show that a sub-module performing a two-dimensional fast Fourier transform (2D FFT) is memory bound using CPI breakdown analysis on IBM Power9. Then, we present an NMC approach on FPGA for 2D FFT that outperforms a CPU by up to a factor of 120x and performs comparably to a high-end GPU, while using less bandwidth and memory.

Originele taal-2	Engels
Titel	2020 9th Mediterranean Conference on Embedded Computing (MECO)
Uitgeverij	Institute of Electrical and Electronics Engineers
Aantal pagina's	6
ISBN van elektronische versie	978-1-7281-6949-1
DOI's	https://doi.org/10.1109/MECO49872.2020.9134089
Status	Gepubliceerd - 7 jul. 2020
Evenement	9th Mediterranean Conference on Embedded Computing, MECO 2020 - Budva, Montenegro Duur: 8 jun. 2020 → 11 jun. 2020

Congres

Congres	9th Mediterranean Conference on Embedded Computing, MECO 2020
Land/Regio	Montenegro
Stad	Budva
Periode	8/06/20 → 11/06/20

Financiering

This work is funded by the European Commission under Marie Sklodowska-Curie Innovative Training Networks European Industrial Doctorate (Project ID: 676240). We would like to thank Jan van Lunteren from IBM Research for providing the Access Processor and NMC accelerator architecture, and Sambit Nayak from Ericsson Research for his feedback on the draft of the paper.

Financiers	Financiernummer
European Union’s Horizon Europe research and innovation programme	676240
European Commission

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title = "Near Memory Acceleration on High Resolution Radio Astronomy Imaging",

abstract = "Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-time exabytes of radio-astronomical signals to construct a high-resolution map of the sky. Near-Memory Computing (NMC) could alleviate the performance bottlenecks due to frequent memory accesses in a state-of-the-art radio-astronomy imaging algorithm. In this paper, we show that a sub-module performing a two-dimensional fast Fourier transform (2D FFT) is memory bound using CPI breakdown analysis on IBM Power9. Then, we present an NMC approach on FPGA for 2D FFT that outperforms a CPU by up to a factor of 120x and performs comparably to a high-end GPU, while using less bandwidth and memory.",

author = "Stefano Corda and Bram Veenboer and Awan, {Ahsan Javed} and Akash Kumar and Roel Jordans and Henk Corporaal",

year = "2020",

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doi = "10.1109/MECO49872.2020.9134089",

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booktitle = "2020 9th Mediterranean Conference on Embedded Computing (MECO)",

publisher = "Institute of Electrical and Electronics Engineers",

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note = "9th Mediterranean Conference on Embedded Computing, MECO 2020 ; Conference date: 08-06-2020 Through 11-06-2020",

}

Corda, S, Veenboer, B, Awan, AJ, Kumar, A, Jordans, R & Corporaal, H 2020, Near Memory Acceleration on High Resolution Radio Astronomy Imaging. in 2020 9th Mediterranean Conference on Embedded Computing (MECO)., 9134089, Institute of Electrical and Electronics Engineers, 9th Mediterranean Conference on Embedded Computing, MECO 2020, Budva, Montenegro, 8/06/20. https://doi.org/10.1109/MECO49872.2020.9134089

Near Memory Acceleration on High Resolution Radio Astronomy Imaging. / Corda, Stefano; Veenboer, Bram; Awan, Ahsan Javed et al.
2020 9th Mediterranean Conference on Embedded Computing (MECO). Institute of Electrical and Electronics Engineers, 2020. 9134089.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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T1 - Near Memory Acceleration on High Resolution Radio Astronomy Imaging

AU - Corda, Stefano

AU - Veenboer, Bram

AU - Awan, Ahsan Javed

AU - Kumar, Akash

AU - Jordans, Roel

AU - Corporaal, Henk

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AB - Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-time exabytes of radio-astronomical signals to construct a high-resolution map of the sky. Near-Memory Computing (NMC) could alleviate the performance bottlenecks due to frequent memory accesses in a state-of-the-art radio-astronomy imaging algorithm. In this paper, we show that a sub-module performing a two-dimensional fast Fourier transform (2D FFT) is memory bound using CPI breakdown analysis on IBM Power9. Then, we present an NMC approach on FPGA for 2D FFT that outperforms a CPU by up to a factor of 120x and performs comparably to a high-end GPU, while using less bandwidth and memory.

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Near Memory Acceleration on High Resolution Radio Astronomy Imaging

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