Designing scalable software in C++ requires more than just a sound understanding of the logical design issues covered in most C++ programming books. To succeed, senior developers, architects, and project leaders need a grasp of high-level physical design concepts with which even expert software developers have little or no experience. This concise, approachable guide takes a practitioner's view of large-scale software development, while providing all the information you need to quickly apply architectural-level physical design concepts in your everyday work. All content is presented in self-contained modules that make it easy to find what you need -- and use it. John Lakos presents crucial new material on runtime dependencies and other architectural issues, as well as realistic small examples that add value by illuminating broad and deep issues in large-scale C++ application design.
Designing scalable software in C++ requires more than just a sound understanding of logical design. Senior developers, architects, and project leaders need a grasp of high-level physical design concepts that even many software experts have never explored. In Large-Scale C++, Volume I: Process and Architecture , John Lakos takes a practitioner's view of modern large-scale software development, helping experienced professionals apply architectural-level physical design concepts in their everyday work. Lakos teaches critical concepts clearly and concisely, with new high-value examples. Up to date and modular, Large-Scale C++, Volume I, is designed to help you solve problems right now, and serve as an indispensable reference for years to come.
The topic is of prime importance to software professionals involved in large development efforts such as databases, operating systems, compilers, and frameworks. This volume explains the process of decomposing large systems into physical (not inheritance) hierarchies of small, manageable components. Concepts and techniques are illustrated with "war stories" from the development firm, Mentor Graphics, as well as with a large-scale example comprising some 12,000 lines of code. Annotation copyright by Book News, Inc., Portland, OR
In Large-Scale Scrum , Craig Larman and Bas Vodde offer the most direct, concise, actionable guide to reaping the full benefits of agile in distributed, global enterprises. Larman and Vodde have distilled their immense experience helping geographically distributed development organizations move to agile. Going beyond their previous books, they offer today's fastest, most focused guidance: "brass tacks" advice and field-proven best practices for achieving value fast, and achieving even more value as you move forward. Targeted to enterprise project participants and stakeholders, Large-Scale Scrum offers straight-to-the-point insights for scaling Scrum across the entire project lifecycle, from sprint planning to retrospective. Larman and Vodde help you: Implement proven Scrum frameworks for large-scale developments Scale requirements, planning, and product management Scale design and architecture Effectively manage defects and interruptions Integrate Scrum into multisite and offshore projects Choose the right adoption strategies and organizational designs This will be the go-to resource for enterprise stakeholders at all levels: everyone who wants to maximize the value of Scrum in large, complex projects.
From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.
Large-Scale 3D Data Integration: Challenges and Opportunities examines the fundamental aspects of 3D geo-information, focusing on the latest developments in 3D GIS (geographic information) and AEC (architecture, engineering, construction) systems. This book addresses policy makers, designers and engineers, and individuals that need to overco
An Advanced Research Workshop (ARW) sponsored by NATO and the California Space Institute was held in Corsica (France) October 3 to 7, 1983 to discuss the role of satellite observations in the large-scal·eoceanographic experiments, especially those under discussion (e.g., the World Ocean Circulation Experiment, WOCE, and the Tropical Ocean and Global Atmosphere, TOGA). This volume is based on papers presented during that meeting, summaries of the discussions of the working groups and recommended necessary tasks to be accompl ished in preparation for WOCE and TOGA. The participants of the meeting decided that, although the collection of issues discussed in the meeting was undoubtedly incomplete, the summaries of the discussions and recommended tasks warranted being conveyed to the organizers and sponsors of WOCE and TOGA. Although not discussed at the workshop, it was recognized that an important role of satellites is as data collection and location systems. Some of the common conclusions of the different working groups discussions are that: 1) Studies are needed of the sensitivity of the ocean response to errors in surface parameters (wind stress, heat flux, SST etc.) in a variety of physical models. These should be one of the basis for determining the accuracy requirements in WOCE and TOGA.
As energy produced from renewable sources is increasingly integrated into the electricity grid, interest in energy storage technologies for grid stabilisation is growing. This book reviews advances in battery technologies and applications for medium and large-scale energy storage. Chapters address advances in nickel, sodium and lithium-based batteries. Other chapters review other emerging battery technologies such as metal-air batteries and flow batteries. The final section of the book discuses design considerations and applications of batteries in remote locations and for grid-scale storage. Reviews advances in battery technologies and applications for medium and large-scale energy storage Examines battery types, including zing-based, lithium-air and vanadium redox flow batteries Analyses design issues and applications of these technologies
This report addresses the more contentious aspects of large-scale learning assessments (LSLAs). Drawing on UNESCO's extensive experience in the area from involvement in the direct implementation of assessments and as a knowledge broker and convener of networks this publication presents the Organization's critical take on such initiatives. It aims to balance the debate on LSLAs by reviewing their benefits while raising awareness on their potential risks and pitfalls. The focus of discussions in this publication is on LSLAs conducted in formal and school-based education. It includes an Annex outlining key international studies. [Executive summary, ed]
Contents:A Lattice Solid Model for the Nonlinear Dynamics of Earthquakes (P Mora & D Place)Vectorized and Parallelized Algorithms for Multi-Million Particle MD-Simulations (W Form et al)Green-Function Method for Electronic Structure of Periodic Crystals (R Zeller)Parallelization of the Ising Simulation (N Ito)A Nonlocal Approach to Vertex Models and Quantum Spin Systems (H G Evertz & M Marcu)The Static Quark-Antiquark-Potential: A ‘Classical’ Experiment on the Connection Machine CM-2 (K Schilling & G S Bali)Determination of Monopole Current Clusters in Four-Dimensional Quantum Electrodynamics (A Bode et al)QCD Calculations on the QCDPAX (K Kanaya)UKQCD — Recent Results and Future Prospects (R Kenway)Programming Tools for Parallel Computers (K J M Moriarity & T Trappenberg)Workstation Clusters: One Way to Parallel Computing (M Weber)APE100 and Beyond (R Tripiccione)and other papers Readership: Computational physicists. keywords:
This book explores coordination within and between teams in the context of large-scale agile software development, providing readers a deeper understanding of how coordinated action between teams is achieved in multiteam systems. An exploratory multiple case study with five multiteam systems and a total of 66 interviewees from development teams at SAP SE is presented and analyzed. In addition, the book explores stereotypes of coordination in large-scale agile settings and shares new perspectives on integrating conditions for coordination. No previous study has researched this topic with a similar data set, consisting of insights from professional software development teams. As such, the book will be of interest to all researchers and practitioners whose work involves software product development across several teams.
Even elementary school students of today know that electronics can do fan tastic things. Electronic calculators make arithmetic easy. An electronic box connected to your TV set provides a wonderful array of games. Electronic boxes can translate languages! Electronics has even changed watches from a pair of hands to a set of digits. Integrated circuit (IC) chips, which use transistors to store information in binary form and perform binary arithmetic, make all of this possible. In just a short twenty years, the field of inte grated circuits has progressed from chips containing several transistors performing simple functions such as OR and AND functions to chips presently available which contain thousands of transistors performing a wide range of memory, control and arithmetic functions. In the late 1970's Very Large Scale Integration (VLSI) caught the imagin ation of the industrialized world. The United States, Japan and other coun tries now have substantial efforts to push the frontier of microelectronics across the one-micrometer barrier and into sub-micrometer features. The achievement of this goal will have tremendous impl ications, both technolo gical and economic for the countries involved.
Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.
With continuous development of modern computing hardware and applicable - merical methods, computational ?uid dynamics (CFD) has reached certain level of maturity so that it is being used routinely by scientists and engineers for ?uid ?ow analysis. Since most of the real-life applications involve some kind of optimization, it has been natural to extend the use of CFD tools from ?ow simulation to simu- tion based optimization. However, the transition from simulation to optimization is not straight forward, it requires proper interaction between advanced CFD meth- ologies and state-of-the-art optimization algorithms. The ultimate goal is to achieve optimal solution at the cost of few ?ow solutions. There is growing number of - search activities to achieve this goal. This book results from my work done on simulation based optimization problems at the Department of Mathematics, University of Trier, and reported in my postd- toral thesis (”Habilitationsschrift”) accepted by the Faculty-IV of this University in 2008. The focus of the work has been to develop mathematical methods and - gorithms which lead to ef?cient and high performance computational techniques to solve such optimization problems in real-life applications. Systematic development of the methods and algorithms are presented here. Practical aspects of implemen- tions are discussed at each level as the complexity of the problems increase, suppo- ing with enough number of computational examples.
The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetic Problems provides a detailed and instructional overview of implementing MLFMA. The book: Presents a comprehensive treatment of the MLFMA algorithm, including basic linear algebra concepts, recent developments on the parallel computation, and a number of application examples Covers solutions of electromagnetic problems involving dielectric objects and perfectly-conducting objects Discusses applications including scattering from airborne targets, scattering from red blood cells, radiation from antennas and arrays, metamaterials etc. Is written by authors who have more than 25 years experience on the development and implementation of MLFMA The book will be useful for post-graduate students, researchers, and academics, studying in the areas of computational electromagnetics, numerical analysis, and computer science, and who would like to implement and develop rigorous simulation environments based on MLFMA.
Results of research into large scale eigenvalue problems are presented in this volume. The papers fall into four principal categories: novel algorithms for solving large eigenvalue problems, novel computer architectures, computationally-relevant theoretical analyses, and problems where large scale eigenelement computations have provided new insight.
Papers from a workshop held at Cornell University, Oct. 1989, and sponsored by Cornell's Mathematical Sciences Institute. Annotation copyright Book News, Inc. Portland, Or.
Constraint programming has become an important general approach for solving hard combinatorial problems that occur in a number of application domains, such as scheduling and configuration. This volume contains selected papers from the workshop on Constraint Programming and Large Scale Discrete Optimization held at DIMACS. It gives a sense of state-of-the-art research in this field, touching on many of the important issues that are emerging and giving an idea of the major current trends. Topics include new strategies for local search, multithreaded constraint programming, specialized constraints that enhance consistency processing, fuzzy representations, hybrid approaches involving both constraint programming and integer programming, and applications to scheduling problems in domains such as sports scheduling and satellite scheduling.
In recent years, as part of the increasing “informationization” of industry and the economy, enterprises have been accumulating vast amounts of detailed data such as high-frequency transaction data in nancial markets and point-of-sale information onindividualitems in theretail sector. Similarly,vast amountsof data arenow ava- able on business networks based on inter rm transactions and shareholdings. In the past, these types of information were studied only by economists and management scholars. More recently, however, researchers from other elds, such as physics, mathematics, and information sciences, have become interested in this kind of data and, based on novel empirical approaches to searching for regularities and “laws” akin to those in the natural sciences, have produced intriguing results. This book is the proceedings of the international conference THICCAPFA7 that was titled “New Approaches to the Analysis of Large-Scale Business and E- nomic Data,” held in Tokyo, March 1–5, 2009. The letters THIC denote the Tokyo Tech (Tokyo Institute of Technology)–Hitotsubashi Interdisciplinary Conference. The conference series, titled APFA (Applications of Physics in Financial Analysis), focuses on the analysis of large-scale economic data. It has traditionally brought physicists and economists together to exchange viewpoints and experience (APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001, APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon 2007). The aim of the conf- ence is to establish fundamental analytical techniques and data collection methods, taking into account the results from a variety of academic disciplines.