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Modern Computer Architecture and Organization – Second Edition

You're reading from   Modern Computer Architecture and Organization – Second Edition Learn x86, ARM, and RISC-V architectures and the design of smartphones, PCs, and cloud servers

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781803234519
Length 666 pages
Edition 2nd Edition
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Author (1):
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Jim Ledin Jim Ledin
Author Profile Icon Jim Ledin
Jim Ledin
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Toc

Table of Contents (21) Chapters Close

Preface 1. Introducing Computer Architecture FREE CHAPTER 2. Digital Logic 3. Processor Elements 4. Computer System Components 5. Hardware-Software Interface 6. Specialized Computing Domains 7. Processor and Memory Architectures 8. Performance-Enhancing Techniques 9. Specialized Processor Extensions 10. Modern Processor Architectures and Instruction Sets 11. The RISC-V Architecture and Instruction Set 12. Processor Virtualization 13. Domain-Specific Computer Architectures 14. Cybersecurity and Confidential Computing Architectures 15. Blockchain and Bitcoin Mining Architectures 16. Self-Driving Vehicle Architectures 17. Quantum Computing and Other Future Directions in Computer Architectures 18. Other Books You May Enjoy
19. Index
Appendix

Examples of specialized architectures

This section examines some application-focused computing system configurations and highlights the specialized architectural requirements addressed in each. The configurations we will look at are:

  • Cloud compute server: Several vendors offer access to computing platforms accessible to customers via the internet. These servers allow users to load software applications onto the cloud server and perform any type of computation they desire. In general, these services bill their customers based on the type and quantity of computing resources allocated and the length of time they are in use. The advantage for the customer is that these services cost nothing when they are not in use.

    At the higher end of performance, servers containing multiple interconnected GPU cards can be harnessed to perform large-scale, floating-point intensive computations on huge datasets. In the cloud context, it is straightforward and often cost-effective to break a...

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