This new edition is an ideal resource for professional digital system designers, programmers, application developers, and system software developers. It will also be of interest to undergraduate students in Computer Science, Computer Engineering and Electrical Engineering courses in Computer Organization, Computer Design, ranging from Sophomore required courses to Senior Electives.Winner of a 2014 Texty Award from the Text and Academic Authors AssociationIncludes new examples, exercises, and material highlighting the emergence of mobile computing and the cloudCovers 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 Adds a new concrete example, "Going Faster," to demonstrate how understanding hardware can inspire software optimizations that improve performance by 200 timesDiscusses and highlights the "Eight Great Ideas" of computer architecture: Performance via Parallelism; Performance via Pipelining; Performance via Prediction; Design for Moore's Law; Hierarchy of Memories; Abstraction to Simplify Design; Make the Common Case Fast; and Dependability via RedundancyIncludes a full set of updated and improved exercises
• Elementary presentation of numerical methods using computers for solving a variety of problems for students who have only basic level knowledge of mathematics.
• Geometrical illustrations used to explain how numerical algorithms are evolved.
• Emphasis on implementation of numerical algorithm on computers.
• Detailed discussion of IEEE standard for representing floating point numbers.
• Algorithms derived and presented using a simple English based structured language.
• Truncation and rounding errors in numerical calculations explained.
• Each chapter starts with learning goals and all methods illustrated with numerical examples.
• Appendix gives pointers to open source libraries for numerical computation.