Programming Pearls 3rd Edition Pdf
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Parallel Programming for Modern High Performance Computing Systems
In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs
Software Development Pearls
Author: Karl Wiegers
language: en
Publisher: Addison-Wesley Professional
Release Date: 2021-10-05
Accelerate Your Pursuit of Software Excellence by Learning from Others' Hard-Won Experience "Karl is one of the most thoughtful software people I know. He has reflected deeply on the software development irritants he has encountered over his career, and this book contains 60 of his most valuable responses." -- From the Foreword by Steve McConnell, Construx Software and author of Code Complete "Wouldn't it be great to gain a lifetime's experience without having to pay for the inevitable errors of your own experience? Karl Wiegers is well versed in the best techniques of business analysis, software engineering, and project management. You'll gain concise but important insights into how to recover from setbacks as well as how to avoid them in the first place." --Meilir Page-Jones, Senior Business Analyst, Wayland Systems Inc. Experience is a powerful teacher, but it's also slow and painful. You can't afford to make every mistake yourself! Software Development Pearls helps you improve faster and bypass much of the pain by learning from others who already climbed the learning curves. Drawing on 25+ years helping software teams succeed, Karl Wiegers has crystallized 60 concise, practical lessons for all your projects, regardless of your role, industry, technology, or methodology. Wiegers's insights and specific recommendations cover six crucial elements of success: requirements, design, project management, culture and teamwork, quality, and process improvement. For each, Wiegers offers First Steps for reflecting on your own experiences before you start; detailed Lessons with core insights, real case studies, and actionable solutions; and Next Steps for planning adoption in your project, team, or organization. This is knowledge you weren't taught in college or boot camp. It can boost your performance as a developer, business analyst, quality professional, or manager. Clarify requirements to gain a shared vision and understanding of your real problem Create robust designs that implement the right functionality and quality attributes and can evolve Anticipate and avoid ubiquitous project management pitfalls Grow a culture in which behaviors actually align with what people claim to value Plan realistically for quality and build it in from the outset Use process improvement to achieve desired business results, not as an end in itself Choose your next steps to get full value from all these lessons Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Algorithmic Puzzles
Author: Anany Levitin
language: en
Publisher: Oxford University Press
Release Date: 2011-09-21
While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book's unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies--exhaustive search, backtracking, and divide-and-conquer, among others--will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary on the puzzle's origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking through more difficult puzzles.