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Computer Architecture for Scientists
Andrew A. Chien
出版Cambridge University Press, 2022-03-10
主題Computers / GeneralComputers / Computer ArchitectureMathematics / General
ISBN13165185319781316518533
URLhttp://books.google.com.hk/books?id=dGtYEAAAQBAJ&hl=&source=gbs_api
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註釋The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast - how size scaling drives performance; Implicit parallelism - how a sequential program can be executed faster with parallelism; Dynamic locality - skirting physical limits, by arranging data in a smaller space; Parallelism - increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.