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Author : John S. Gero
Release : 1977
Genre : Architecture
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Computer Applications in Architecture by : John S. Gero
Download or read book Computer Applications in Architecture written by John S. Gero. This book was released on 1977. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John S. Gero
Release : 1977
Genre : Architecture
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Computer Applications in Architecture by : John S. Gero
Download or read book Computer Applications in Architecture written by John S. Gero. This book was released on 1977. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Y. Hsu
Release : 2017-12-19
Genre : Computers
Kind : eBook
Book Rating : 101/5 ( reviews)
Book Synopsis Computer Architecture by : John Y. Hsu
Download or read book Computer Architecture written by John Y. Hsu. This book was released on 2017-12-19. Available in PDF, EPUB and Kindle. Book excerpt: With the new developments in computer architecture, fairly recent publications can quickly become outdated. Computer Architecture: Software Aspects, Coding, and Hardware takes a modern approach. This comprehensive, practical text provides that critical understanding of a central processor by clearly detailing fundamentals, and cutting edge design features. With its balanced software/hardware perspective and its description of Pentium processors, the book allows readers to acquire practical PC software experience. The text presents a foundation-level set of ideas, design concepts, and applications that fully meet the requirements of computer organization and architecture courses. The book features a "bottom up" computer design approach, based upon the author's thirty years experience in both academe and industry. By combining computer engineering with electrical engineering, the author describes how logic circuits are designed in a CPU. The extensive coverage of a micprogrammed CPU and new processor design features gives the insight of current computer development. Computer Architecture: Software Aspects, Coding, and Hardware presents a comprehensive review of the subject, from beginner to advanced levels. Topics include: o Two's complement numbers o Integer overflow o Exponent overflow and underflow o Looping o Addressing modes o Indexing o Subroutine linking o I/O structures o Memory mapped I/O o Cycle stealing o Interrupts o Multitasking o Microprogrammed CPU o Multiplication tree o Instruction queue o Multimedia instructions o Instruction cache o Virtual memory o Data cache o Alpha chip o Interprocessor communications o Branch prediction o Speculative loading o Register stack o JAVA virtual machine o Stack machine principles
Author : Goin Neil Harper
Release : 1968
Genre : Technology & Engineering
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Computer Applications in Architecture and Engineering by : Goin Neil Harper
Download or read book Computer Applications in Architecture and Engineering written by Goin Neil Harper. This book was released on 1968. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andrew A. Chien
Release : 2022-03-10
Genre : Computers
Kind : eBook
Book Rating : 382/5 ( reviews)
Book Synopsis Computer Architecture for Scientists by : Andrew A. Chien
Download or read book Computer Architecture for Scientists written by Andrew A. Chien. This book was released on 2022-03-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.
