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Book Description

Optimize code for multi-core processors with Intel’s Parallel Studio

Parallel programming is rapidly becoming a “must-know” skill for developers. Yet, where to start? This teach-yourself tutorial is an ideal starting point for developers who already know Windows C and C++ and are eager to add parallelism to their code. With a focus on applying tools, techniques, and language extensions to implement parallelism, this essential resource teaches you how to write programs for multicore and leverage the power of multicore in your programs. Sharing hands-on case studies and real-world examples, the authors examine the challenges of each project and show you how to overcome them.

• Explores conversion of serial code to parallel
• Focuses on implementing Intel Parallel Studio
• Highlights the benefits of using parallel code
• Addresses error and performance optimization of code
• Includes real-world scenarios that illustrate the techniques of advanced parallel programming situations

Parallel Programming with Intel Parallel Studio dispels any concerns of difficulty and gets you started creating faster code with Intel Parallel Studio.

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Book Description

Use Windows debuggers throughout the development cycle—and build better software

Rethink your use of Windows debugging and tracing tools—and learn how to make them a key part of test-driven software development. Led by a member of the Windows Fundamentals Team at Microsoft, you’ll apply expert debugging and tracing techniques—and sharpen your C++ and C# code analysis skills—through practical examples and common scenarios. Learn why experienced developers use debuggers in every step of the development process, and not just when bugs appear.

Discover how to:

• Go behind the scenes to examine how powerful Windows debuggers work
• Catch bugs early in the development cycle with static and runtime analysis tools
• Gain practical strategies to tackle the most common code defects
• Apply expert tricks to handle user-mode and kernel-mode debugging tasks
• Implement postmortem techniques such as JIT and dump debugging
• Debug the concurrency and security aspects of your software
• Use debuggers to analyze interactions between your code and the operating system
• Analyze software behavior with Xperf and the Event Tracing for Windows (ETW) framework

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Book Description

This newest edition examines fundamental data structures by following a consistent object-oriented framework that builds intuition and analysis skills of data structures and algorithms

Presents new figures, simpler language, and more practical motivations from real-world scenarios

Numerous illustrations, Web-based animations, and simplified mathematical analyses help readers quickly learn important concepts

From the Back Cover
A Clear, Visual Approach to Fundamental Data Structures and Algorithms

Goodrich and Tamassia’s DATA STRUCTURES AND ALGORITHMS IN JAVA, 5/E, incorporates the object-oriented design paradigm, using Java as the implementation language. The authors provide intuition, description, and analysis of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.

In the Second Edition, the authors have improved their text by simplifying advanced topics, including many new exercises, and revising most Java code exmples. You’ll also find updated and expanded coverage of Internet-related topics, Object-oriented design, and the Java programming language, including the Collections framework and Design Patterns.

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Book Description

Ever since the ancient Greeks, financial innovation has enabled more people to purchase homes. Today is no different: in fact, responsible financial innovation is now the best tool available for “rebooting” crippled housing markets, improving their efficiency, and making housing more accessible to millions. In Fixing the Housing Market, three leading experts explain how, covering everything decision-makers should know about today’s housing and financial markets.

The authors first explain how innovative housing financial products, services and institutions evolved through the 19th century, World War I, the Great Depression, World War II, and beyond — culminating in the post-1970s era of securitization. Next, they assess housing finance systems in mature economies during and after the recent crisis, highlighting benefits and risks associated with each widely-used mortgage funding structure and product. They also carefully assess current housing finance structures in emerging economies such as Brazil, Russia, India, and China.

Building on these insights, the authors introduce transformative financial innovations that can facilitate a more stable and sustainable financing system for housing — providing better shelter for more people, helping the industry recover, and creating thousands of new jobs. Using these new tools, entrepreneurs, economic development specialists, and policymakers can develop practical strategies for bridging funding gaps — raising more capital for longer terms at lower cost.

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Book Description

Software test automation has moved beyond a luxury to become a necessity. Applications and systems have grown ever larger and more complex, and manual testing simply cannot keep up. As technology changes, and more organizations move into agile development, testing must adapt—and quickly. Test automation is essential, but poor automation is wasteful—how do you know where your efforts will take you?

Authors Dorothy Graham and Mark Fewster wrote the field’s seminal text, Software Test Automation, which has guided many organizations toward success. Now, in Experiences of Test Automation, they reveal test automation at work in a wide spectrum of organizations and projects, from complex government systems to medical devices, SAP business process development to Android mobile apps and cloud migrations. This book addresses both management and technical issues, describing failures and successes, brilliant ideas and disastrous decisions and, above all, offers specific lessons you can use.

• Test automation in agile development
• How management support can make or break successful automation
• The importance of a good testware architecture and abstraction levels
• Measuring benefits and Return on Investment (ROI)
• Management issues, including skills, planning, scope, and expectations
• Model-Based Testing (MBT), monkey testing, and exploratory test automation Download Now »

Book Description

A Professional’s Guide to Decision Science and Problem Solving provides an integrated, start-to-finish framework for more effective problem solving and decision making in corporations. Drawing on vast experience in the field, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and processing modeling techniques together to create a robust analytical framework for better decision making in any field, especially those that rely on advanced operations management. They integrate both newly-developed and time-tested techniques into a logical, structured approach for assessing corporate issues, developing solutions, and making decisions that drive the successful achievement of corporate objectives. Coverage includes: defining objectives, exploring the environment; scoping problems and evaluating their importance; bringing data mining and statistical analysis to bear; solving problems and measuring the results; evaluating the results and performing sensitivity analysis, and more. The book concludes with three case study chapters that walk through the effective use of its methods, step-by-step. Representing a wide variety of corporate environments, these case studies underscore and demonstrate the method’s exceptional adaptability. This book will be valuable in a wide range of industries, notably finance, pharmaceutical, healthcare, economics, and manufacturing.

From the Back Cover
A Powerful Roadmap for Making Decisions That Optimize Performance—Every Time

This professional reference combines the best decision science models Download Now »