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dc.contributor.authorDo, Quan
dc.contributor.authorAcuña Maldonado, Sebastian Andres
dc.contributor.authorKristiansen, Jon Ivar
dc.contributor.authorAgarwal, Krishna
dc.contributor.authorHa, Hoai Phuong
dc.date.accessioned2021-08-05T12:16:08Z
dc.date.available2021-08-05T12:16:08Z
dc.date.issued2021-07-05
dc.description.abstractThe multiple signal classification algorithm (MUSICAL) is a statistical super-resolution technique for wide-field fluorescence microscopy. Although MUSICAL has several advantages, such as its high resolution, its low computational performance has limited its exploitation. This paper aims to analyze the performance and scalability of MUSICAL for improving its low computational performance. We first optimize MUSICAL for performance analysis by using the latest high-performance computing libraries and parallel programming techniques. Thereafter, we provide insights into MUSICAL’s performance bottlenecks. Based on the insights, we develop a new parallel MUSICAL in CCC using Intel Threading Building Blocks and the Intel Math Kernel Library. Our experimental results show that our new parallel MUSICAL achieves a speed-up of up to 30.36x on a commodity machine with 32 cores with an efficiency of 94.88%. The experimental results also show that our new parallel MUSICAL outperforms the previous versions of MUSICAL in Matlab, Java, and Python by 30.43x, 2.63x, and 1.69x, respectively, on commodity machines.en_US
dc.identifier.citationDo, Acuña Maldonado, Kristiansen, Agarwal, Ha. Highly efficient and scalable framework for high-speed super-resolution microscopy. IEEE Access. 2021;9:1-15en_US
dc.identifier.cristinIDFRIDAID 1921104
dc.identifier.doi10.1109/ACCESS.2021.3094840
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/10037/21956
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE Access
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism, acoustics, optics: 434en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme, akustikk, optikk: 434en_US
dc.subjectVDP::Technology: 500::Information and communication technology: 550en_US
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.titleHighly efficient and scalable framework for high-speed super-resolution microscopyen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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