Fundamentals of Computer Organization and Architecture

Wiley Series on Parallel and Distributed Computing

Book 38
Sold by John Wiley & Sons
1
Free sample

This is the first book in the two-volume set offering comprehensivecoverage of the field of computer organization and architecture.This book provides complete coverage of the subjects pertaining tointroductory courses in computer organization and architecture,including:
* Instruction set architecture and design
* Assembly language programming
* Computer arithmetic
* Processing unit design
* Memory system design
* Input-output design and organization
* Pipelining design techniques
* Reduced Instruction Set Computers (RISCs)
The authors, who share over 15 years of undergraduate and graduatelevel instruction in computer architecture, provide real worldapplications, examples of machines, case studies and practicalexperiences in each chapter.
Read more

About the author

MOSTAFA ABD-EL-BARR, PhD, is currently a professor and chairman ofthe Department of Information Science at Kuwait University. He hasco-authored two other books, published more than 120 papers, andserved as chair for a number of international conferences andsymposia.

HESHAM EL-REWINI, PhD, PE, is a full professor and chairman ofthe Department of Computer Sciences and Engineering at SouthernMethodist University (SMU). He has co-authored several books,published numerous research papers in journals and conferenceproceedings, and chaired many international conferences.

Read more
5.0
1 total
Loading...

Additional Information

Publisher
John Wiley & Sons
Read more
Published on
Feb 22, 2005
Read more
Pages
288
Read more
ISBN
9780471478331
Read more
Read more
Best For
Read more
Language
English
Read more
Genres
Computers / Information Technology
Computers / Systems Architecture / General
Read more
Content Protection
This content is DRM protected.
Read more

Reading information

Smartphones and Tablets

Install the Google Play Books app for Android and iPad/iPhone. It syncs automatically with your account and allows you to read online or offline wherever you are.

Laptops and Computers

You can read books purchased on Google Play using your computer's web browser.

eReaders and other devices

To read on e-ink devices like the Sony eReader or Barnes & Noble Nook, you'll need to download a file and transfer it to your device. Please follow the detailed Help center instructions to transfer the files to supported eReaders.
The state of the art of high-performance computing

Prominent researchers from around the world have gathered topresent the state-of-the-art techniques and innovations inhigh-performance computing (HPC), including:
* Programming models for parallel computing: graph-orientedprogramming (GOP), OpenMP, the stages and transformation (SAT)approach, the bulk-synchronous parallel (BSP) model, MessagePassing Interface (MPI), and Cilk
* Architectural and system support, featuring the code tilingcompiler technique, the MigThread application-level migration andcheckpointing package, the new prefetching scheme of atomicity, anew "receiver makes right" data conversion method, and lessonslearned from applying reconfigurable computing to HPC
* Scheduling and resource management issues with heterogeneoussystems, bus saturation effects on SMPs, genetic algorithms fordistributed computing, and novel task-scheduling algorithms
* Clusters and grid computing: design requirements, gridmiddleware, distributed virtual machines, data grid services andperformance-boosting techniques, security issues, and openissues
* Peer-to-peer computing (P2P) including the proposed searchmechanism of hybrid periodical flooding (HPF) and routing protocolsfor improved routing performance
* Wireless and mobile computing, featuring discussions ofimplementing the Gateway Location Register (GLR) concept in 3Gcellular networks, maximizing network longevity, and comparisons ofQoS-aware scatternet scheduling algorithms
* High-performance applications including partitioners, runningBag-of-Tasks applications on grids, using low-cost clusters to meethigh-demand applications, and advanced convergent architectures andprotocols

High-Performance Computing: Paradigm and Infrastructure is aninvaluable compendium for engineers, IT professionals, andresearchers and students of computer science and appliedmathematics.
Solving complex optimization problems with parallelmetaheuristics

Parallel Metaheuristics brings together an international group ofexperts in parallelism and metaheuristics to provide a much-neededsynthesis of these two fields. Readers discover how metaheuristictechniques can provide useful and practical solutions for a widerange of problems and application domains, with an emphasis on thefields of telecommunications and bioinformatics. This volume fillsa long-existing gap, allowing researchers and practitioners todevelop efficient metaheuristic algorithms to find solutions.

The book is divided into three parts:
* Part One: Introduction to Metaheuristics and Parallelism,including an Introduction to Metaheuristic Techniques, Measuringthe Performance of Parallel Metaheuristics, New Technologies inParallelism, and a head-to-head discussion on Metaheuristics andParallelism
* Part Two: Parallel Metaheuristic Models, including ParallelGenetic Algorithms, Parallel Genetic Programming, ParallelEvolution Strategies, Parallel Ant Colony Algorithms, ParallelEstimation of Distribution Algorithms, Parallel Scatter Search,Parallel Variable Neighborhood Search, Parallel SimulatedAnnealing, Parallel Tabu Search, Parallel GRASP, Parallel HybridMetaheuristics, Parallel Multi-Objective Optimization, and ParallelHeterogeneous Metaheuristics
* Part Three: Theory and Applications, including Theory of ParallelGenetic Algorithms, Parallel Metaheuristics Applications, ParallelMetaheuristics in Telecommunications, and a final chapter onBioinformatics and Parallel Metaheuristics

Each self-contained chapter begins with clear overviews andintroductions that bring the reader up to speed, describes basictechniques, and ends with a reference list for further study.Packed with numerous tables and figures to illustrate the complextheory and processes, this comprehensive volume also includesnumerous practical real-world optimization problems and theirsolutions.

This is essential reading for students and researchers in computerscience, mathematics, and engineering who deal with parallelism,metaheuristics, and optimization in general.
Computer Organization and Design, Fifth Edition, is the latest update to the classic introduction to computer organization. The text now contains new examples and material highlighting the emergence of mobile computing and the cloud. It explores this generational change with updated content featuring tablet computers, cloud infrastructure, and the ARM (mobile computing devices) and x86 (cloud computing) architectures. The book uses a MIPS processor core to present the fundamentals of hardware technologies, assembly language, computer arithmetic, pipelining, memory hierarchies and I/O.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. There is also a new discussion of the Eight Great Ideas of computer architecture. Parallelism is examined in depth with examples and content highlighting parallel hardware and software topics. The book features the Intel Core i7, ARM Cortex-A8 and NVIDIA Fermi GPU as real-world examples, along with a full set of updated and improved exercises.

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
The state of the art of high-performance computing

Prominent researchers from around the world have gathered topresent the state-of-the-art techniques and innovations inhigh-performance computing (HPC), including:
* Programming models for parallel computing: graph-orientedprogramming (GOP), OpenMP, the stages and transformation (SAT)approach, the bulk-synchronous parallel (BSP) model, MessagePassing Interface (MPI), and Cilk
* Architectural and system support, featuring the code tilingcompiler technique, the MigThread application-level migration andcheckpointing package, the new prefetching scheme of atomicity, anew "receiver makes right" data conversion method, and lessonslearned from applying reconfigurable computing to HPC
* Scheduling and resource management issues with heterogeneoussystems, bus saturation effects on SMPs, genetic algorithms fordistributed computing, and novel task-scheduling algorithms
* Clusters and grid computing: design requirements, gridmiddleware, distributed virtual machines, data grid services andperformance-boosting techniques, security issues, and openissues
* Peer-to-peer computing (P2P) including the proposed searchmechanism of hybrid periodical flooding (HPF) and routing protocolsfor improved routing performance
* Wireless and mobile computing, featuring discussions ofimplementing the Gateway Location Register (GLR) concept in 3Gcellular networks, maximizing network longevity, and comparisons ofQoS-aware scatternet scheduling algorithms
* High-performance applications including partitioners, runningBag-of-Tasks applications on grids, using low-cost clusters to meethigh-demand applications, and advanced convergent architectures andprotocols

High-Performance Computing: Paradigm and Infrastructure is aninvaluable compendium for engineers, IT professionals, andresearchers and students of computer science and appliedmathematics.
©2018 GoogleSite Terms of ServicePrivacyDevelopersArtistsAbout Google|Location: United StatesLanguage: English (United States)
By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments Terms of Service and Privacy Notice.