The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Over the past several decades, applications permeated by advances in digital signal processing have undergone unprecedented growth in capabilities. The editors and authors of High Performance Embedded Computing Handbook: A Systems Perspective have been significant contributors to this field, and the principles and techniques presented in the handbook are reinforced by examples drawn from their work.

The chapters cover system components found in today’s HPEC systems by addressing design trade-offs, implementation options, and techniques of the trade, then solidifying the concepts with specific HPEC system examples. This approach provides a more valuable learning tool, Because readers learn about these subject areas through factual implementation cases drawn from the contributing authors’ own experiences.

Discussions include:

Key subsystems and components

Computational characteristics of high performance embedded algorithms and applications

Front-end real-time processor technologies such as analog-to-digital conversion, application-specific integrated circuits, field programmable gate arrays, and intellectual property–based design

Programmable HPEC systems technology, including interconnection fabrics, parallel and distributed processing, performance metrics and software architecture, and automatic code parallelization and optimization

Examples of complex HPEC systems representative of actual prototype developments

Application examples, including radar, communications, electro-optical, and sonar applications

The handbook is organized around a canonical framework that helps readers navigate through the chapters, and it concludes with a discussion of future trends in HPEC systems. The material is covered at a level suitable for practicing engineers and HPEC computational practitioners and is easily adaptable to their own implementation requirements.

Table of Contents

INTRODUCTION

A Retrospective on High Performance Embedded Computing

D.R. Martinez

HPEC Hardware Systems and Software Technologies

HPEC Multiprocessor System

Representative Example of a High Performance Embedded Computing System

D.R. Martinez

System Complexity

Implementation Techniques

Software Complexity and System Integration

System Architecture of a Multiprocessor System

D.R. Martinez

A Generic Multiprocessor System

A High Performance Hardware System

Custom VLSI Implementation: Custom VLSI Hardware

A High Performance COTS Programmable Signal Processor

High Performance Embedded Computers: Development Process and

Management Perspectives

D.R. Martinez

Development Process

Case Study: Airborne Radar HPEC System: Programmable Signal Processor Development; Software Estimation, Monitoring, and Configuration Control; PSP Software Integration, Optimization, and Verification

Trends

Computational Nature of High Performance

Embedded Systems

Computational Characteristics of High Performance Embedded Algorithms and Applications

M. Arakawa and R.A. Bond

General Computational Characteristics of HPEC

Complexity of HPEC Algorithms

Parallelism in HPEC Algorithms and Architectures

Future Trends

Radar Signal Processing: An Example of High Performance Embedded Computing

R.A. Bond and A.I. Reuther

A Canonical HPEC Radar Algorithm: Subband Analysis and Synthesis; Adaptive Beamforming; Pulse Compression; Doppler Filtering; Space-Time Adaptive Processing; Subband Synthesis Revisited; CFAR Detection

Example Architecture of the Front-End Processor: A Discussion of the Back-End Processing

Front-End Real-Time Processor Technologies

Analog-to-Digital Conversion

J.C. Anderson and H.H. Kim

Conceptual ADC Operation

Static Metrics:Offset Error; Gain Error; Differential Nonlinearity; Integral Nonlinearity

Dynamic Metrics: Resolution; Monotonicity; Equivalent Input-Referred Noise (Thermal Noise); Quantization Error; Ratio of Signal to Noise and Distortion; Effective Number of Bits; Spurious-Free Dynamic Range; Dither; Aperture Uncertainty

System-Level Performance Trends and Limitations: Trends in Resolution; Trends in Effective Number of Bits; Trends in Spurious-Free Dynamic Range; Trends in Power Consumption; ADC Impact on Processing Gain

High-Speed ADC Design: Flash ADC; Architectural Techniques for Power Saving; Pipeline ADC

Power Dissipation Issues in High-Speed ADCs

Implementation Approaches of Front-End Processors

M.M. Vai and H.T. Nguyen

Front-End Processor Design Methodology

Front-End Signal Processing Technologies: Full-Custom ASIC; Synthesized ASIC; FPGA Technology;

Structured ASIC

Intellectual Property

Development Cost

Design Space

Design Case Studies: Channelized Adaptive Beamformer Processor; Radar Pulse Compression Processor;

Co-design Benefits

Application-Specific Integrated Circuits

M.M. Vai, W.S. Song, and B.M. Tyrell

Integrated Circuit Technology Evolution

CMOS Technology: MOSFET

CMOS Logic Structures: Static Logic; Dynamic CMOS Logic

Integrated Circuit Fabrication

Performance Metrics: Speed; Power Dissipation

Design Methodology: Full-Custom Physical Design; Synthesis Process; Physical Verification;

Simulation; Design for Manufacturability

Packages

Testing: Fault Models; Test Generation for Stuck-at Faults; Design for Testability; Built-in Self-Test

Case Study

Field Programmable Gate Arrays

M.Leeser

FPGA Structures: Basic Structures Found in FPGAs

Modern FPGA Architectures: Embedded Blocks; Future Directions

Commercial FPGA Boards and Systems

Languages and Tools for Programming FPGAs: Hardware Description Languages; High-Level Languages; Library-Based Solutions

Case Study: Radar Processing on an FPGA: Project Description; Parallelism: Fine-Grained versus Coarse-Grained; Data Organization; Experimental Results

Challenges to High Performance With FPGA Architectures: Data: Movement and Organization; Design Trade-offs

Intellectual Property-Based Design

W. Wolf

Classes of Intellectual Property

Sources of Intellectual Property

Licenses for Intellectual Property

CPU Cores

Busses

I/O Devices

Memories

Operating Systems

Software Libraries and Middleware

IP-Based Design Methodologies

Standards-Based Design

Systolic Array Processors

M.M. Vai, H.T. Nguyen, P.A. Jackson, and W.S. Song

Beamforming Processor Design

Systolic Array Design Approach

Design Examples: QR Decomposition Processor; Real-Time FFT Processor; Bit-Level Systolic Array Methodology

Programmable High Performance Embedded

Computing Systems

Computing Devices

K. Teitelbaum

Common Metrics: Assessing the Required Computation Rate; Quantifying the Performance of COTS Computing Devices

Current COTS Computing Devices in Embedded Systems: General-Purpose Microprocessors:

Word Length, Vector Processing Units, Power Consumption versus Performance, Memory Hierarchy, Some Benchmark Results, Input/Output, Digital Signal Processors; Future Trends: Technology Projections and Extrapolating Current Architectures; Advanced Architectures and the Exploitation of Moore’s Law: Multiple-Core Processors, The IBM Cell Broadband Engine, SIMD Processor Arrays, DARPA Polymorphic Computing Architectures, Graphical Processing Units as Numerical Co-processors, FPGA-Based Co-processors

Interconnection Fabrics

K. Teitelbaum

Introduction: Anatomy of a Typical Interconnection Fabric; Network Topology and Bisection Bandwidth;

Total Exchange; Parallel Two-Dimensional Fast Fourier Transform—A Simple Example

Crossbar Tree Networks: Network Formulas; Scalability of Network Bisection Width; Units of Replication;

Pruning Crossbar Tree Networks

VXS: A Commercial Example: Link Essentials; VXS-Supported Topologies

Performance Metrics and Software Architecture

J. Kepner, T. Meuse, and G.E. Schrader

Synthetic Aperture Radar Example Application: Operating Modes; Computational Workload

Degrees of Parallelism: Parallel Performance Metrics (no communication); Parallel Performance Metrics (with communication); Amdahl’s Law

Standard Programmable Multi-Computer: Network Model

Parallel Programming Models and Their Impact: High-Level Programming Environment with Global Arrays

System Metrics: Performance; Form Factor; Efficiency; Software Cost

Appendices: A Synthetic Aperture Radar Algorithm: Scalable Data Generator; Stage 1: Front-End Sensor Processing; Stage 2: Back-End Knowledge Formation

Programming Languages

J.M. Lebak

Principles of Programming Embedded Signal Processing Systems

Evolution of Programming Languages

Features of Third-Generation Programming Languages: Object-Oriented Programming; Exception Handling; Generic Programming

Use of Specific Languages in High Performance Embedded Computing:

C; Fortran; Ada; C++; Java

Future Development of Programming Languages

Summary: Features of Current Programming Languages

Portable Software Technology

J.M. Lebak

Libraries: Distributed and Parallel Programming; Surveying the State of Portable Software Technology:

Portable Math Libraries, Portable Performance Using Math Libraries; Parallel and Distributed Libraries; Example: Expression Template Use in the MIT Lincoln Laboratory Parallel

Vector Library

Parallel and Distributed Processing

A. I. Reuther and H. G. Kim

Parallel Programming Models: Threads: Pthreads, OpenMP; Message Passing: Parallel Virtual Machine, Message Passing Interface; Partitioned Global Address Space: Unified Parallel C, VSIPL++; Applications: Fast Fourier Transform, Synthetic Aperture Radar

Distributed Computing Models: Client-Server: SOAP, Java Remote Method Invocation, Common Object Request Broker Architecture; Data Driven: Java Messaging Service, Data Distribution Service; Applications: Radar Open Systems Architecture, Integrated Sensing and Decision Support

Automatic Code Parallelization and Optimization

N.T. Bliss

Instruction-Level Parallelism versus Explicit-Program Parallelism

Automatic Parallelization Approaches: A Taxonomy

Maps and Map Independence

Local Optimization in an Automatically Tuned Library

Compiler and Language Approach

Dynamic Code Analysis in a Middleware System

High Performance Embedded Computing

Application Examples

Radar Applications

K. Teitelbaum

Basic Radar Concepts:Pulse-Doppler Radar Operation; Multichannel Pulse-Doppler; Adaptive Beamforming; Space-Time Adaptive Processing

Mapping Radar Algorithms onto HPEC Architectures: Round-Robin Partitioning; Functional Pipelining; Coarse-Grain Data-Parallel Partitioning; Fine-Grain Data-Parallel Partitioning

Implementation Examples: Radar Surveillance Processor; Adaptive Processor (Generation 1); Adaptive Processor (Generation 2); KASSPER

A Sonar Application

W.R. Bernecky

Sonar Problem Description

Designing an Embedded Sonar System: The Sonar Processing Thread; Prototype Development; Computational Requirements; Parallelism; Implementing the Real-Time System; Verify Real-Time Performance; Verify Correct Output

An Example Development: System Attributes; Sonar Processing Thread Computational Requirements; Sensor Data Collection; Two-Dimensional Fast Fourier Transform; Covariance Matrix Formation;

Covariance Matrix Inversion; Adaptive Beamforming; Broadband Formation; Normalization; Detection; Display Preparation and Operator Controls; Summary of Computational Requirements; Parallelism

Hardware Architecture

Software Considerations

Embedded Sonar Systems of the Future References

Communications Applications

J.I. Goodman and T.G. Macdonald

Communications Application Challenges

Communications Signal Processing, Transmitter Signal Processing; Transmitter Processing Requirements; Receiver Signal Processing; Receiver Processing Requirements

Development of a Real-Time Electro-Optical Reconnaissance System

R.A. Coury

Aerial Surveillance Background

Methodology: Performance Modeling; Feature Tracking and Optic Flow; Three-Dimensional Site Model Generation; Challenges; Camera Model; Distortion

System Design Considerations: Altitude; Sensor; GPS/IMU; Processing and Storage; Communications; Cost; Test Platform

Transition to Target Platform: Payload; GPS/IMU; Sensor; Processing; Communications and Storage; Altitude

Future Trends

Application and HPEC System Trends

D.R. Martinez

Introduction: Sensor Node Architecture Trends

Hardware Trends

Software Trends

Distributed Net-Centric Architecture

A Review on Probabilistic CMOS (PCMOS) Technology: From Device

Characteristics to Ultra-Low-Energy SOC Architectures

K.V. Palem, L.N. Chakrapani, B.E.S. Akgul, and P. Korkmaz

Characterizing the Behavior of a PCMOS Switch: Inverter Realization of a Probabilistic Switch;

Analytical Model and the Three Laws of a PCMOS Inverter; Realizing a Probabilistic Inverter with Limited Available Noise

Realizing PCMOS-Based Low-Energy Architectures: Metrics for Evaluating PCMOS-Based Architectures; Experimental Methodology; Metrics for Analysis of PCMOS-Based Implementations; Hyperencryption Application and PCMOS-Based Implementation; Results and Analysis; PCMOS-Based Architectures for Error-Tolerant Applications

Advanced Microprocessor Architectures

J. McMahon, S. Crago, and D. Yeung

Background: Established Instruction-Level Parallelism Techniques; Parallel Architectures

Motivation for New Architectures: Limitations of Conventional Microprocessors

Current Research Microprocessors: Instruction-Level Parallelism: Tile-Based Organization; Explicit Parallelism Model; Scalable On-Chip Networks; Data-Level Parallelism: SIMD Architectures; Vector Architectures; Streaming Architectures; Thread-Level Parallelism: Multithreading and Granularity;

Multilevel Memory; Speculative Execution

Real-Time Embedded Applications: Scalability; Input/Output Bandwidth; Programming Models and Algorithm Mapping

Glossary of Acronyms and Abbreviations

Index

For courses in Systems Analysis and Design, Structured A clear presentation of information, organised around the systems development life cycle model This briefer version of the authors' highly successful Modern System Analysis and Design is a clear presentation of information, organised around the systems development life cycle model. Designed for courses needing a streamlined approach to the material due to course duration, lab assignments, or special projects, it emphasises current changes in systems analysis and design, and shows the concepts in action through illustrative fictional cases.

Appropriate for a one semester/two-quarter senior-level course in digital or discrete-time controls. This revision of the best-selling text in digital controls is a significant update with the integration of MATLAB software and new coverage in several areas. This program presents a better teaching and learning experience-for you and your students. *Provide MATLAB programs to students: Short MATLAB programs have been included in many of the examples, which allow students to experiment and learn more skills. *Motivate students with running applications that are featured throughout the book: Simple physical systems are introduced in one chapter and then used again later to illuminate more advanced material. *Reinforce core concepts with examples and problems: Over 400 problems and 130 worked examples help students grasp the text's concepts.

This fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use.

The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.

The companion web site, algs4.cs.princeton.edu contains An online synopsisFull Java implementationsTest dataExercises and answersDynamic visualizationsLecture slidesProgramming assignments with checklistsLinks to related material

The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.

Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.

The Second Edition was thoroughly reorganized and rewritten based on classroom experience to incorporate:

A spiral approach, starting with turtle graphics, and then revisiting concepts in greater depth using numeric, textual, and image data

Clear, concise explanations written for beginning students, emphasizing core principles

A variety of accessible examples, focusing on key concepts

Diagrams to help visualize new concepts

New sections on recursion and exception handling, as well as an earlier introduction of lists, based on instructor feedback

The text offers sections designed for approximately one class period each, and proceeds gradually from procedural to object-oriented design. Examples, exercises, and projects are included from diverse application domains, including finance, biology, image processing, and textual analysis. It also includes a brief "How-To" sections that introduce optional topics students may be interested in exploring.

The text is written to be read, making it a good fit in flipped classrooms. Designed for either classroom use or self-study, all example programs and solutions to odd-numbered exercises (except for projects) are available at: http://www.central.edu/go/conciseintro/.

Table of Contents

1. Turtle Graphics

1.1 Getting Started

1.2 Calling Functions

1.3 Writing Functions

1.4 Repetition

1.5 Checking Conditions

1.6 Conditional Repetition

1.7 More Complex Choices

1.8 Randomness

1.9 Thinking with Functions

2. Numeric Data

2.1 Variables and Assignment

2.2 Calculations

2.3 Accumulation Loops

2.4 Accumulator Options

Project: Simulation

2.5 Numbers in Memory

2.6 Repeated Input

2.7 Lists of Numbers

2.8 List Indexing and Slicing

2.9 List Accumulation

2.10 Searching a List

2.11 Recursion

3. Text

3.1 Strings

3.2 String Accumulation

3.3 Text in Memory

3.4 String Processing

How-To: Output Formatting

3.5 Lists of Strings

3.6 Reading Text Files

Project: Word-Guessing Game

Project: Flash Cards

How-To: Reading Csv Files

3.7 Handling Exceptions

How-To: Writing Text Files

3.8 Dictionaries

Project: Eliza

Project: Reading DNA Frames

4. Images

4.1 Creating Images

4.2 Color Transformations

Project: Gamma Correction

Project: Color Quantization

4.3 Size Transformations

4.4 Geometric Transformations

4.5 Combining Images

Project: Image Filters

5. Objects and Classes

5.1 Using Turtle Objects

5.2 Writing Classes

5.3 Composition

5.4 Importing Classes

5.5 Inheritance

5.6 Graphical User Interfaces

Software project management is a crucial element in successful software and IT development, and requires students to develop an understanding of technical methodology and an appreciation of the many human factors that can play a part in software projects. The new fifth edition of Software Project Management has been fully revised and updated to help students to grasp these contrasting skills, and learn about new developments in the discipline. It provides both undergraduate and postgraduate students with a comprehensive introduction to software project management and has enjoyed a loyal following of users since the first edition published.

Cengage's PYTHON PROGRAMMING FOR ENGINEERS AND SCIENTISTS, 1st Edition, is intended for introductory courses in programming and problem-solving.

The text covers material taught in first year engineering programming and STEM courses, including five major aspects of computing: programming basics, object-oriented programming, data and information processing, the software development life cycle and contemporary applications of computing. Unlike many other introductory texts, this one does not restrict itself to problems involving numbers and text.

Topics such as graphical user interfaces, event-driven programming, graphics, image manipulation and network communications will be presented in depth after learners have mastered the basics of programming.

Learn how to program with C++ using today's definitive choice for your first programming language experience -- C++ PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 8E. D.S. Malik's time-tested, student-centered methodology incorporates a strong focus on problem-solving with full-code examples that vividly demonstrate the hows and whys of applying programming concepts and utilizing C++ to work through a problem. Thoroughly updated end-of-chapter exercises, more than 20 extensive new programming exercises, and numerous new examples drawn from Dr. Malik's experience further strengthen your understanding of problem solving and program design in this new edition. You review the important features of C++ 14 Standard with timely discussions that ensure this edition equips you to succeed in your CS1 course and beyond.

UNIX and Linux System Administration Handbook, Fifth Edition is today's definitive guide to installing, configuring and maintaining any Unix or Linux system -- including the systems that provide core Internet and cloud infrastructure. Now fully updated for today's Linux distributions and cloud environments, it details best practices for every facet of system administration, including storage management, network design and administration, web hosting and scale-out, automation, configuration management, performance analysis, virtualization, DNS, security, management of IT service organizations, and much more. For modern system and network administrators, this edition contains indispensable new coverage of cloud deployments, continuous delivery, Docker and other containerization solutions, and much more.

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Recent years have seen the development of powerful tools for verifying hardware and software systems, as companies worldwide realise the need for improved means of validating their products. There is increasing demand for training in basic methods in formal reasoning so that students can gain proficiency in logic-based verification methods. The second edition of this successful textbook addresses both those requirements, by continuing to provide a clear introduction to formal reasoning which is both relevant to the needs of modern computer science and rigorous enough for practical application. Improvements to the first edition have been made throughout, with extra and expanded sections on SAT solvers, existential/universal second-order logic, micro-models, programming by contract and total correctness. The coverage of model-checking has been substantially updated. Further exercises have been added. Internet support for the book includes worked solutions for all exercises for teachers, and model solutions to some exercises for students.

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This is a business information systems textbook for a new education system. The book helps overcome many of the difficulties faced by first-year information systems students. Up-to-date material includes a series of South African business case studies with examples and exercises. A second, more formally structured section describes, discusses, summarizes and reinforces key topics. The business section covers application examples from small and large business situations, from retail to manufacturing and financial services sectors. The authors "chunk" much of the material in problem-driven, rather than product-driven, sections, asserting that some understanding of fundamental material is improved by presentations in a comfortable, easy-to-read style.

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A revision of the #1 text in the Human Computer Interaction field, Interaction Design, the third edition is an ideal resource for learning the interdisciplinary skills needed for interaction design, human-computer interaction, information design, web design and ubiquitous computing.

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Interaction Design offers a cross-disciplinary, practical and process-oriented approach to Human Computer Interaction, showing not just what principles ought to apply to Interaction Design, but crucially how they can be applied. The book focuses on how to design interactive products that enhance and extend the way people communicate, interact and work. Motivating examples are included to illustrate both technical, but also social and ethical issues, making the book approachable and adaptable for both Computer Science and non-Computer Science users. Interviews with key HCI luminaries are included and provide an insight into current and future trends.

The book has an accompanying website www.id-book.com which has been updated to include resources to match the new edition.

Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The text starts by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The academic version of Arena and example files are available through the book's website.

"Digital Design and Computer Architecture" takes a unique and modern approach to digital design. Beginning with digital logic gates and progressing to the design of combinational and sequential circuits, Harris and Harris use these fundamental building blocks as the basis for what follows: the design of an actual MIPS processor. SystemVerilog and VHDL are integrated throughout the text in examples illustrating the methods and techniques for CAD-based circuit design. By the end of this book, readers will be able to build their own microprocessor and will have a top-to-bottom understanding of how it works. Harris and Harris have combined an engaging and humorous writing style with an updated and hands-on approach to digital design.

This second edition has been updated with new content on I/O systems in the context of general purpose processors found in a PC as well as microcontrollers found almost everywhere. The new edition provides practical examples of how to interface with peripherals using RS232, SPI, motor control, interrupts, wireless, and analog-to-digital conversion. High-level descriptions of I/O interfaces found in PCs include USB, SDRAM, WiFi, PCI Express, and others. In addition to expanded and updated material throughout, SystemVerilog is now featured in the programming and code examples (replacing Verilog), alongside VHDL. This new edition also provides additional exercises and a new appendix on C programming to strengthen the connection between programming and processor architecture.

SECOND Edition Features Covers the fundamentals of digital logic design and reinforces logic concepts through the design of a MIPS microprocessor.Features side-by-side examples of the two most prominent Hardware Description Languages (HDLs)-SystemVerilog and VHDL-which illustrate and compare the ways each can be used in the design of digital systems.Includes examples throughout the text that enhance the reader s understanding and retention of key concepts and techniques.Companion Web site includes links to CAD tools for FPGA design from Altera and Mentor Graphics, lecture slides, laboratory projects, and solutions to exercises.

Updated based on instructor feedback with more exercises and new examples of parallel and advanced architectures, practical I/O applications, embedded systems, and heterogeneous computing Presents digital system design examples in both VHDL and SystemVerilog (updated for the second edition from Verilog), shown side-by-side to compare and contrast their strengthsIncludes a new chapter on C programming to provide necessary prerequisites and strengthen the connection between programming and processor architectureCompanion Web site includes links to Xilinx CAD tools for FPGA design, lecture slides, laboratory projects, and solutions to exercises.

Instructors can also register at textbooks.elsevier.com for access to: Solutions to all exercises (PDF)Lab materials with solutionsHDL for textbook examples and exercise solutions Lecture slides (PPT)Sample exams\Sample course syllabusFigures from the text (JPG, PPT)"

For courses in computer science and software engineering The Fundamental Practice of Software Engineering Software Engineering introduces students to the overwhelmingly important subject of software programming and development. In the past few years, computer systems have come to dominate not just our technological growth, but the foundations of our world's major industries. This text seeks to lay out the fundamental concepts of this huge and continually growing subject area in a clear and comprehensive manner. The 10th Edition contains new information that highlights various technological updates of recent years, providing students with highly relevant and current information. Sommerville's experience in system dependability and systems engineering guides the text through a traditional plan-based approach that incorporates some novel agile methods. The text strives to teach the innovators of tomorrow how to create software that will make our world a better, safer, and more advanced place to live.