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The Programmer's Brain explores the way your brain works when it's thinking about code. In it, you'll master practical ways to apply these cognitive principles to your daily programming life. You'll improve your code comprehension by turning confusion into a learning tool, and pick up awesome techniques for reading code and quickly memorizing syntax. This practical guide includes tips for creating your own flashcards and study resources that can be applied to any new language you want to master. By the time you're done, you'll not only be better at teaching yourself--you'll be an expert at bringing new colleagues and junior programmers up to speed.
This book constitutes the refereed proceedings of the 8th International Conference on High-Performance Computing and Networking, HPCN Europe 2000, held in Amsterdam, The Netherlands, in May 2000. The 52 revised full papers presented together with 34 revised posters were carefully reviewed for inclusion in the book. The papers are organized in sections on problem solving environments, metacomputing, load balancing, numerical parallel algorithms, virtual enterprises and virtual laboratories, cooperation coordination, Web-based tools for tele-working, monitoring and performance, low-level algorithms, Java in HPCN, cluster computing, data analysis, and applications in a variety of fields.
This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.
Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair p...
This book constitutes the refereed proceedings of the Seventh International Workshop on Software Configuration Management, SCM-7, held in conjunction with the 1997 IEEE/CS International Conference on Software Engineering, ICSE'97, in Boston, MA, USA, in May 1997. The book presents 16 revised full papers selected from a total of 49 submissions. The papers are organized in sections on versioning models, reuse and system models, process aspects, distributed SCM, SCM on the Web, and industrial experience, This book competently reports the state of the art in software configuration management.
A thorough and accessible introduction to a range of key ideas in type systems for programming language. The study of type systems for programming languages now touches many areas of computer science, from language design and implementation to software engineering, network security, databases, and analysis of concurrent and distributed systems. This book offers accessible introductions to key ideas in the field, with contributions by experts on each topic. The topics covered include precise type analyses, which extend simple type systems to give them a better grip on the run time behavior of systems; type systems for low-level languages; applications of types to reasoning about computer prog...
Edited by one of the founders and lead investigator of the Green500 list, this book presents state-of-the-art approaches to advance the large-scale green computing movement. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches. The book explains how to control power across the hardware, firmware, operating system, and application levels and explores trends in server costs, energy use, and performance at high-density computing facilities. It also discusses energy management and virtualization in cloud computing.
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi
The book is concerned with the broad topic of software engineering. It comprises the proceedings of the European Software Engineering Conference (ESEC) held at the University of Warwick in the United Kingdom in September 1989 and its primary purpose is to summarise the state of the art in software engineering as represented by the papers at that conference. The material covers both submitted papers and a number of invited papers given at the conference. The topics covered include: metrics and measurement, software process modelling, formal methods including their use in industry, software configuration management, software development environments, and requirements engineering. The book is most likely to be of interest to researchers and professionals working in the field of software development. The primary value of the book is that it gives an up-to-date treatment of its subject material and includes some interesting discussions of the transfer of research ideas into industrial practice.
In Two Bits, Christopher M. Kelty investigates the history and cultural significance of Free Software, revealing the people and practices that have transformed not only software but also music, film, science, and education. Free Software is a set of practices devoted to the collaborative creation of software source code that is made openly and freely available through an unconventional use of copyright law. Kelty explains how these specific practices have reoriented the relations of power around the creation, dissemination, and authorization of all kinds of knowledge. He also makes an important contribution to discussions of public spheres and social imaginaries by demonstrating how Free Sof...