Computer Architecture: A Quantitative Approach
Computer Architecture: A Quantitative Approach explores the ways that software and technology in the cloud are accessed by digital media, such as cell phones, computers, tablets, and other mobile devices. The book became a part of Intel's 2012 recommended reading list for developers, and it covers the revolution of mobile computing. The text also highlights the two most important factors in architecture today: parallelism and memory hierarchy.
The six chapters that this book is composed of follow a consistent framework: explanation of the ideas in each chapter; a ""crosscutting issues"" section, which presents how the concepts covered in one chapter connect with those given in other chapters; a ""putting it all together"" section that links these concepts by discussing how they are applied in real machine; and detailed examples of misunderstandings and architectural traps commonly encountered by developers and architects.
The first chapter of the book includes formulas for energy, static and dynamic power, integrated circuit costs, reliability, and availability. Chapter 2 discusses memory hierarchy and includes discussions about virtual machines, SRAM and DRAM technologies, and new material on Flash memory. The third chapter covers the exploitation of instruction-level parallelism in high-performance processors, superscalar execution, dynamic scheduling and multithreading, followed by an introduction to vector architectures in the fourth chapter. Chapters 5 and 6 describe multicore processors and warehouse-scale computers (WSCs), respectively.
This book is an important reference for computer architects, programmers, application developers, compiler and system software developers, computer system designers and application developers.
What people are saying - Write a review
This book is horrible. It is a book with so much of ambiguities and mistakes. Many of the solved problems are wrongly calculated. The simple maths described in many solved examples is dreadfully incorrect.
Also, the exercises at the end of the chapters seems like out of the book concepts. One cannot solve the problems by reading the chapter. It seems the people who wrote the problems didn't read the book at all. They are too many assumptions that have to be considered before solving. The exercises in the book can have different solutions and still can be confusing. Its the worst computer organisation book I have ever owned.
Hennessy and Patterson may be good researchers, but they got totally disconnected with the readers and learners by this book.
HATED THE BOOK TO THE CORE. I AM VERY DISAPPOINTED THAT I PAYED SOME AMOUNT OF MONEY TO THE AUTHORS FOR THIS PIECE OF GARBAGE.
This is a great book. I purchased without hesitation.
However, the google play version is much more expensive than a paper version, which is hard to believe.
Also, the new edition has some typos or errors. Unfortunately, some errors in Chapter 5 ( cache coherence) cost me few hours to understand what they really mean.
Besides, I hope online appendix can be put into the google play version.
3 InstructionLevel Parallelism and Its Exploitation
4 DataLevel Parallelism in Vector SIMD and GPU Architectures
5 ThreadLevel Parallelism
6 WarehouseScale Computers to Exploit RequestLevel and DataLevel Parallelism
Appendix A Instruction Set Principles