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Название: CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming 2nd Edition
Автор: Gregory Ruetsch, Massimiliano Fatica
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 350
Язык: английский
Формат: epub
Размер: 157.2 MB

CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. In order to add CUDA Fortran to existing Fortran codes, they explain how to understand the target GPU architecture, identify computationally-intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance – all in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. This second edition provides much needed updates on how to efficiently program GPUs in CUDA Fortran. It can be used either as a tutorial on GPU programming in CUDA Fortran as well as a reference text.

Название: Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis
Автор: Md Zia Uddin
Издательство: CRC Press
Год: 2025
Страниц: 264
Язык: английский
Формат: pdf (true)
Размер: 34.8 MB

This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced Machine Learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. Covering Python basics, feature extraction, Deep Learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications.

Название: Hacker's Manual - 17th Edition 2024
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2024
Страниц: 148
Формат: PDF
Размер: 112 MB
Язык: английский

Welcome to the 2024 edition of the Hacker's Manual! You hold in your hands 148 pages of Linux hacking tutorials, guides and features from the experts at Linux Format magazine - the home of open source software. Over 80 hacking tutorials to get your teeth into! Networking – dive into the protocols, build a network and analyse your traffic. Sysadmin – harness the power of Docker and learn time-saving terminal tricks. Hacking – get a full Linux OS on your phone and hack your distro for speed. Privacy – give The Man the slip and protect your privacy with our help.

Название: AI In Digital Marketing
Автор: Maria Johnsen
Издательство: Mercury Learning and Information
Серия: MLI Generative AI Series
Год: 2024
Страниц: 539
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

This book presents a comprehensive and innovative exploration of the role of Artificial Intelligence (AI) in the digital marketing arena. It begins with historical context and fundamental AI principles, and subsequently, details AI's applications across a spectrum of areas, including data analytics, content creation, customer targeting, Search Engine Optimization (SEO), Pay Per Click (PPC) advertising, Social Media Marketing (SMM), and Email Marketing. A distinctive feature lies in the author's extensive real-world experience, providing many useful business applications of AI. The book is designed for marketing professionals, business executives, educators, and students, and offers numerous examples and case studies. Machine Learning and Deep Learning represent two of the most captivating and transformative domains within contemporary technology. Over the past decade, these fields have undergone rapid and profound development, exerting a profound influence across various industries and fundamentally altering our approach to intricate problem-solving. In this chapter, we will delve into the fundamental principles, methodologies, and practical applications that underpin these disciplines. Furthermore, we will scrutinize the salient disparities between them and explore their consequential real-world ramifications. Machine Learning algorithms constitute mathematical models and techniques designed to assimilate knowledge from data. Prominent Machine Learning algorithms include linear regression, decision trees, support vector machines, and k-nearest neighbors. Machine Learning models acquire knowledge through exposure to substantial volumes of labeled data. During the training process, the model adapts its internal parameters to minimize the disparities between its predictions and the actual data. Developing custom Machine Learning models is an option for businesses that want to create highly tailored customer profiles. Python libraries like Scikit-learn and TensorFlow are often used for this purpose.

Название: Intelligent Optimization: Principles, Algorithms and Applications
Автор: Changhe Li, Shoufei Han, Sanyou Zeng
Издательство: Springer
Год: 2024
Страниц: 369
Язык: английский
Формат: pdf (true), epub
Размер: 34.6 MB

This textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engaged in self-study. Serving as a significant reference, it delves into advanced topics within the evolutionary computation field, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, expensive optimization, and other pivotal scientific studies related to optimization. Firstly, the relationship between optimization and Machine Learning is discussed, and an example of Machine Learning task is given. Secondly, the mathematical formulation of an optimization problem is defined. Optimization problems are categorized into continuous optimization problems and discrete optimization problems. Finally, optimization algorithms are introduced and categorized into deterministic algorithms and probabilistic algorithms, where several terms regarding intelligent optimization are introduced. Designed to be approachable and inclusive, this textbook equips readers with the essential mathematical background necessary for understanding intelligent optimization. It employs an accessible writing style, complemented by extensive pseudo-code and diagrams that vividly illustrate the mechanisms, principles, and algorithms of optimization. With a focus on practicality, this textbook provides diverse real-world application examples spanning engineering, games, logistics, and other domains, enabling readers to confidently apply intelligent techniques to actual optimization problems. Recognizing the importance of hands-on experience, the textbook introduces the Open-source Framework for Evolutionary Computation platform (OFEC) as a user-friendly tool. This platform serves as a comprehensive toolkit for implementing, evaluating, visualizing, and benchmarking various optimization algorithms.

Название: Mathematics in Programming
Автор: Xinyu Liu
Издательство: Springer
Год: 2024
Страниц: 393
Язык: английский
Формат: pdf (true), epub
Размер: 50.15 MB

The book presents the mathematical view and tools of computer programming with broad and friendly context. It explains the basic concepts such as recursion, computation model, types, data, and etc. The book serves as an introductory and reference guide to the engineers, students, researchers, and professionals who are interested in functional programming, type system, and computer programming languages. The book covers seven topics. Firstly, it lays out the number system based on Peano Axioms and demonstrates the isomorphic computer data structures. Then, it introduces Lambda calculus as a computing model and recursion, an important programming structure, with the Y-combinator. It next presents the basic abstract algebra, including group and fields, and provides a friendly introduction to Galois theory. After that, it uses category theory as a tool to explain several concepts in computer programming, including the type system, polymorphism, null handler, and recursive data types, then followed by an application of program optimization. In the last two chapters, the author shows how to program with the concept of infinity through stream and lazy evaluation, and then explains the naïve set theory and transfinite numbers, from which the logic paradox arises. Finally, it introduces four historical views of mathematical foundation, as well as Gödel’s incompleteness theorems developed in 1930s, and how they define the boundaries of computer programming. Additionally, the book provides biographies, stories, and anecdotes of 25 mathematicians, along with over 130 exercises and their corresponding answers.

Название: Java Programming Exercises, Volume Two: Java Standard Library
Автор: Christian Ullenboom
Издательство: CRC Press
Год: 2025
Страниц: 323
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Take the next step in raising your coding skills and dive into the intricacies of Java Standard Libraries. You will continue to raise your coding skills, and test your Java knowledge on tricky programming tasks, with the help of the pirate Captain CiaoCiao. This is the second of two volumes which provide you with everything you need to excel in your Java journey, including tricks that you should know in detail as a professional, as well as intensive training for clean code and thoughtful design that carries even complex software. Many beginners in programming often ask themselves, “How can I strengthen my skills as a developer? How can I become a better programmer?” The answer is simple: study, attend webinars, learn, repeat, practice, and discuss your work with others. Many aspects of programming are similar to learning new skills. Just as a book can’t teach you how to play a musical instrument, watching the Fast and the Furious movie series won’t teach you how to drive. The brain develops patterns and structures through repeated practice. Learning a programming language and a natural language have many similarities. Consistent use of the language, and the desire and need to express and communicate in it (just as you need to do so to order a burger or a beer), leads to gradual improvement in skills. Books and webinars on learning a programming language are available, but reading, learning, practicing, and repeating are just one aspect of becoming a successful software developer. To create effective software solutions, you need to creatively combine your knowledge, just as a musician regularly practices finger exercises and maintains their repertoire. The more effective your exercises are, the faster you will become a master. This book aims to help you progress and gain more hands‑on experience.

Название: Java Programming Exercises, Volume One: Language Fundamentals and Core Concepts
Автор: Christian Ullenboom
Издательство: CRC Press
Год: 2025
Страниц: 321
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB

Take the first step in raising your coding skills to the next level, and test your Java knowledge on tricky programming tasks, with the help of the pirate Captain CiaoCiao. This is the first of two volumes which provide you with everything you need to excel in your Java journey, including tricks that you should know in detail as a professional, as well as intensive training for clean code and thoughtful design that carries even complex software. Features: - About 200 tasks with commented solutions on different levels; - For all paradigms: object-oriented, imperative, and functional; - Clean code, reading foreign code, and object-oriented modeling; - With numerous best practices and extensively commented solutions to the tasks, these books provide the perfect workout for professional software development with Java.

Название: Guide to Software Verification with Frama-C: Core Components, Usages, and Applications
Автор: Nikolai Kosmatov, Virgile Prevosto, Julien Signoles
Издательство: Springer
Серия: Computer Science Foundations and Applied Logic
Год: 2024
Страниц: 708
Язык: английский
Формат: pdf (true), epub
Размер: 64.7 MB

Frama-C is a popular open-source toolset for analysis and verification of C programs, largely used for teaching, experimental research, and industrial applications. With the growing complexity and ubiquity of modern software, there is increasing interest in code analysis tools at various levels of formalization to ensure safety and security of software products. Acknowledging the fact that no single technique will ever be able to fit all software verification needs, the Frama-C platform features a wide set of plug-ins that can be used or combined for solving specific verification tasks. This guidebook presents a large panorama of basic usages, research results, and concrete applications of Frama-C since the very first open-source release of the platform in 2008. It covers the ACSL specification language, core verification plug-ins, advanced analyses and their combinations, key ingredients for developing new plug-ins, as well as successful industrial case studies in which Frama-C has helped engineers verify crucial safety or security properties. The C programming language continues to be used in foundational software such as device drivers, networking software, operating systems, and controllers, and such software is of growing importance as computers are used in more and more products and cyber-physical systems. C is an attractive programming language for such systems because it provides low-level access to machine capabilities, explicit storage allocation, and pointer arithmetic. However, these same features make it difficult to use C safely and reliably. Programming safely and reliably in language such as C benefits greatly from tool support, which can record a programmer’s decisions and check that they are carried out consistently and without running into any semantic problems.

Название: DevSecOps Adventures: A Game-Changing Approach with Chocolate, LEGO, and Coaching Games, 2nd Edition
Автор: Dana Pylayeva
Издательство: Apress
Год: 2024
Страниц: 386
Язык: английский
Формат: pdf (true), epub
Размер: 35.4 MB

Discover a groundbreaking approach to introducing DevSecOps. DevSecOps Adventures uses three innovative games to help you to maximize engagement in your training and transform learners’ mindsets, turning even reluctant sceptics into supporters and advocates of the DevOps culture. The book’s first coaching game uses LEGO, Chocolate, and role cards to explore the roles and interdependencies of Dev, Ops, and Security. Readers will experience Aha! moments, expand their individual roles, develop T-shaped skills, and experiment with changing organizational culture. The simulations depict an end-to-end product delivery process, highlighting bottlenecks in the value delivery flow. Additionally, the book is updated with two new games, "Fear in the Workplace" and "Safety in the Workplace" which provide insights into safety culture, drawing inspiration from the works of Ron Westrum, William Kahn, Amy C. Edmondson, and Dr. David Rock. Through open conversations, participants learn to identify signs of a fear-ridden culture and apply safety-enhancing practices to foster a culture of experimentation and learning. This Second Edition is enhanced with real-life examples and includes the insights from important State of DevOps reports. For programmers or system admins/project managers who are new to DevOps.