How Computers Work (10th Edition) (How It Works)

How Computers Work (10th Edition) (How It Works)
Ron White (Author), Timothy Downs (Author)

New!: $39.99 $28.06 (as of 09/07/2014 02:47 PST)

Hardware

Computer Organization and Design, Fifth Edition: The Hardware/Software Interface (The Morgan Kaufmann Series in Computer Architecture and Design)

Computer Organization and Design, Fifth Edition: The Hardware/Software Interface (The Morgan Kaufmann Series in Computer Architecture and Design)
David A. Patterson (Author), John L. Hennessy (Author)

New!: $89.95 $83.67 (as of 09/04/2013 15:20 PST)

Hardware

The 5th edition of Computer Organization and Design moves forward into the post-PC era with new examples, exercises, and material highlighting the emergence of mobile computing and the cloud. This generational change is emphasized and explored with updated content featuring tablet computers, cloud infrastructure, and the ARM (mobile computing devices) and x86 (cloud computing) architectures.

Because an understanding of modern hardware is essential to achieving good performance and energy efficiency, this edition adds a new concrete example, "Going Faster," used throughout the text to demonstrate extremely effective optimization techniques. Also new to this edition is discussion of the "Eight Great Ideas" of computer architecture.

As with previous editions, a MIPS processor is the core used to present the fundamentals of hardware technologies, assembly language, computer arithmetic, pipelining, memory hierarchies and I/O.

Instructors looking for 4th Edition teaching materials should e-mail textbook@elsevier.com.

• Optimization techniques featured throughout the text
• Covers parallelism in depth with examples and content highlighting parallel hardware and software topics
• Features the Intel Core i7, ARM Cortex-A8 and NVIDIA Fermi GPU as real-world examples throughout the book
• Online companion website provides links to simulators and compilers along with tutorials for using them, as well as additional advanced content, appendices, a glossary, references, "Historical Perspectives," and recommended reading

• Rank: #33438 in Books
• Published on: 2013-10-09
• Original language: German, English, French, Italian, Spanish
• Number of items: 1
• Binding: Paperback
• 800 pages

The CUDA Handbook: A Comprehensive Guide to GPU Programming

The CUDA Handbook: A Comprehensive Guide to GPU Programming
Nicholas Wilt (Author)

Download: $26.39 (as of 06/28/2013 23:10 PST)

Hardware

 

The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization.

 

The accompanying open source code–more than 25,000 lines of it, freely available at www.cudahandbook.com–is specifically intended to be reused and repurposed by developers.

 

Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts:

Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible.

Part II, Details, provides thorough descriptions of every aspect of CUDA, including

•  Memory
• Streams and events
•  Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5
• The streaming multiprocessors, including descriptions of all features through SM 3.5
• Programming multiple GPUs
• Texturing

The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases.

Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including

•  Streaming workloads
  
• Reduction
• Parallel prefix sum (Scan)
  
• N-body
• Image Processing

These algorithms cover the full range of potential CUDA applications.

 

• Rank: #20327 in eBooks
• Published on: 2013-06-11
• Released on: 2013-06-11
• Format: Kindle eBook
• Number of items: 1