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An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment

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10.1109/FPL53798.2021.00033
 
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hdl:2117/366104

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Haghi, AbbasMés informació
Marco-Sola, Santiago
Álvarez Martí, LlucMés informació
Diamantopoulos, Dionysios
Hagleitner, Christoph
Moreto Planas, MiquelMés informacióMés informacióMés informació
Document typeConference report
Defense date2021
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectHiPEAC - High Performance Embedded Architecture and Compilation (EC-H2020-871174)
UPC-COMPUTACION DE ALTAS PRESTACIONES VIII (AEI-PID2019-107255GB-C22)
Abstract
In the last years, advances in next-generation sequencing technologies have enabled the proliferation of genomic applications that guide personalized medicine. These applications have an enormous computational cost due to the large amount of genomic data they process. The first step in many of these applications consists in aligning reads against a reference genome. Very recently, the wavefront alignment algorithm has been introduced, significantly reducing the execution time of the read alignment process. This paper presents the first FPGA- based hardware/software co-designed accelerator of such relevant algorithm. Compared to the reference WFA CPU-only implementation, the proposed FPGA accelerator achieves performance speedups of up to 13.5× while consuming up to 14.6× less energy.ed medicine. These applications have an enormous computational cost due to the large amount of genomic data they process. The first step in many of these applications consists in aligning reads against a reference genome. Very recently, the wavefront alignment algorithm has been introduced, significantly reducing the execution time of the read alignment process. This paper presents the first FPGA- based hardware/software co-designed accelerator of such relevant algorithm. Compared to the reference WFA CPU-only imple- mentation, the proposed FPGA accelerator achieves performance speedups of up to 13.5× while consuming up to 14.6× less energy.
CitationHaghi, A. [et al.]. An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment. A: International Conference on Field-Programmable Logic and Applications. "2021 31st International Conference on Field-Programmable Logic and Applications, FPL 2021: Dresden, Germany, 30 August–3 September 2021: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 151-159. ISBN 978-1-6654-3759-2. DOI 10.1109/FPL53798.2021.00033. 
URIhttp://hdl.handle.net/2117/366104
DOI10.1109/FPL53798.2021.00033
ISBN978-1-6654-3759-2
Publisher versionhttps://ieeexplore.ieee.org/document/9556445
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  • Doctorat en Arquitectura de Computadors - Ponències/Comunicacions de congressos [251]
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  • Departament d'Arquitectura de Computadors - Ponències/Comunicacions de congressos [1.874]
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