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Autor(en): 
  • Pedro Valero-Lara
  • Sandra Catalán Pallarés
  • Leonel Antonio Toledo Díaz
  • Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 2022  
    Genre:  Schulbücher 
     
    Architectures / Batched Computing / Dense Linear Algebra / Distributed Memory Platforms / H-Matrices / Human Brain Simulation / Linear Algebra / parallelism
    ISBN:  9781799870838 
    EAN-Code: 
    9781799870838 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 16 mm 
    Gewicht:  547 gr 
    Seiten:  288 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification of LA libraries and their implementation. Because LA libraries pursue high performance, the implementation for a given architecture needs to be optimized for it specifically. However, the type of operations included in the libraries, the input/output parameters, and the data types to be handled are common to all of them. This is why, while the specification remains constant, the implementation evolves with the creation of new architectures. Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. It further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures. Covering topics such as programming models, batched computing, and distributed memory platforms, this premier reference source is an excellent resource for programmers, computer scientists, engineers, students and faculty of higher education, librarians, researchers, and academicians.

      



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