Computer Architecture for Scientists Principles and Performance
- Textbook
Description
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…
- Add bookmark
- Cite
- Share
Key features
- Offers a high-level, approachable view of computing performance: how size scaling drives performance, implicit parallelism, dynamic locality, and parallelism
- Presents principles and models for understanding and reasoning about how hardware architecture has enabled and continues to increase computing performance
- Suitable for software-oriented computer scientists, data scientists, and anyone who needs to effectively exploit computing
- Uses a simple subset of RISC-V to avoid instruction set complexities and provide access to a range of simple instructional tools
- Coverage of parallelism and accelerators is unified, bridging hardware architecture features, and showing their connection to multicore and cloud programming
- Impacts of fundamental scaling are well covered, providing an accessible and practically useful framework for software and data-science oriented computing students to understand future changes in the field
About the book
- DOI https://doi.org/10.1017/9781009000598
- Subjects Architecture, Systems, and Distributed Computing,Computational Science,Computer Science,Mathematics
- Format: Hardback
- Publication date: 12 May 2022
- ISBN: 9781316518533
- Dimensions (mm): 229 x 152 mm
- Weight: 0.64kg
- Page extent: 264 pages
- Availability: In stock
- Format: Digital
- Publication date: 25 March 2022
- ISBN: 9781009000598
Access options
Review the options below to login to check your access.
Personal login
Log in with your Cambridge Higher Education account to check access.
Purchase options
There are no purchase options available for this title.
If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.
Related content
AI generated results by Discovery for publishers [opens in a new window]
- TextbookParallel Computer Organization and Design
Online publication date: 05 November 2012
Hardback publication date: 08 October 2012