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
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 appealing reference for years to come.
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.
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]
The 7th International Conference on Large-Scale Scienti?c Computations (LSSC 2009) was held in Sozopol, Bulgaria, June 4–8, 2009. The conference was organized and sponsored by the Institute for Parallel Processing at the B- garian Academy of Sciences. The conference was devoted to the 70th birthday anniversary of Professor Zahari Zlatev. The Bulgarian Academy of Sciences awarded him the Marin Drinov medal on ribbon for his outstanding results in environmental mat- matics and for his contributions to the Bulgarian mathematical society and the Academy of Sciences. The plenary invited speakers and lectures were: – P. Arbenz, “?Finite Element Analysis of Human Bone Structures” – Y. Efendiev, “Mixed Multiscale Finite Element Methods Using Limited Global Information” – U. Langer, “Fast Solvers for Non-Linear Time-Harmonic Problems” – T. Manteu?el, “First-Order System Least-Squares Approach to Resistive Magnetohydrodynamic Equations” – K. Sabelfeld, “Stochastic Simulation for Solving Random Boundary Value Problems and Some Applications” – F. Tro ¨ltzsch,“OnFinite ElementErrorEstimatesforOptimalControlPr- lems with Elliptic PDEs” – Z. Zlatev, “On Some Stability Properties of the Richardson Extrapolation Applied Together with the ?-method” The success of the conference and the present volume in particular are an outcome of the joint e?orts of many partnersfrom various institutions and or- nizations. Firstwe wouldlike to thank allthe membersofthe Scienti?c Comm- tee for their valuable contribution forming the scienti?c face of the conference, as well as for their help in reviewing contributed papers. We especially thank the organizers of the special sessions.
Proven techniques for scaling agile and lean development to the very largest organizations and projects • •Helps companies turn software development into a competitive advantage. •In-depth coverage of requirements, contracts, architecture, design, offshore/multisite development, coordination, planning, and more •Complements the authors' Scaling Lean and Agile Development. •By software legend Craig Larman, author of Applying UML and Patterns Until recently, large organizations and offshore software entities have for the most part resisted agile and lean development, but their potential for saving money and delivering better software can no longer be ignored. Renowned software engineer Craig Larman has spent years helping large organizations succeed with agile and lean approaches. Last year, he and colleague Bas Vodde brought together much of what they've learned in the book Practices for Scaling Lean and Agile Development Now, building on that book's insights, they follow up with concrete practices and roadmaps for successfully applying agile/lean methodsto distributed and/or offshore/outsourced development initiatives - no matter how large or complex. Practices for Scaling Lean and Agile Development systematically addresses the make or-break issues software organizations face in successfully implementing agile/lean methods, including planning, requirements, contracts, architecture, design, testing, legacy code integration, code inspection, coordination of offshore and multisite projects, and much more. Larman and Vodde offer definitive guidance for transforming large-scale development processes into a powerful competitive advantage - and invaluable assistance for every modern IT executive, manager, and developer.
Larman and Vodde share the key thinking and organizational tools needed to plant the seeds of product development success in a fertile lean and agile enterprise.
In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structural dynamics, CFD, and many other disciplines dealing with complex physical models. The aim of this book is to survey some of the most successful model reduction methods in tutorial style articles and to present benchmark problems from several application areas for testing and comparing existing and new algorithms. As the discussed methods have often been developed in parallel in disconnected application areas, the intention of the mini-workshop in Oberwolfach and its proceedings is to make these ideas available to researchers and practitioners from all these different disciplines.
This volwne is the proceedings of the third school in particle astrophysics that Schramm and Galeotti have organized at Erice. The focus of thirs third school was the Generation of Cosmological Large-Scale Structure. It was held in November of 1996. The fIrst school in the series was on "Gauge Theory and the Early Universe" in May 1986, the second was on "Dark Matter in the Universe" in May 1988. All three schools have been successful under the auspices of the NATO Advanced Study Institute. This volume is thus the third in the series of the proceedings of these schools. The choice of the topic for this third school was natural, since the problem of generating a large-scale structure has become the most pressing problem in cosmology today. In particular, it is this generation of structure that is the interface between astronomical observations and particle models for the early universe. To date, all models for generating structures inevitably require new fundamental physics beyond the standard, SU x SU X U , model of high energy physics. The 3 2 I seeds for generating structures usually invoke unifIcation physics, and the matter needed to clump and form them seems to require particle properties that have not been seen in laboratories to date.
This book constitutes the refereed proceedings of three international workshops held in Rome, Italy, in conjunction with the 15th International Conference on Agile Software Development, XP 2014, in May 2014. The workshops comprised Principles of Large-Scale Agile Development, Refactoring & Testing (RefTest 2014), and Estimations in the 21st Century Software Engineering (EstSE21 2014). The 13 revised full papers presented were carefully reviewed and selected from 28 submissions. In addition, an introduction and a keynote paper are included.
The focus of this book is the large-scale statistical behavior of solutions of divergence-form elliptic equations with random coefficients, which is closely related to the long-time asymptotics of reversible diffusions in random media and other basic models of statistical physics. Of particular interest is the quantification of the rate at which solutions converge to those of the limiting, homogenized equation in the regime of large scale separation, and the description of their fluctuations around this limit. This self-contained presentation gives a complete account of the essential ideas and fundamental results of this new theory of quantitative stochastic homogenization, including the latest research on the topic, and is supplemented with many new results. The book serves as an introduction to the subject for advanced graduate students and researchers working in partial differential equations, statistical physics, probability and related fields, as well as a comprehensive reference for experts in homogenization. Being the first text concerned primarily with stochastic (as opposed to periodic) homogenization and which focuses on quantitative results, its perspective and approach are entirely different from other books in the literature.
With the advent of digital computers more than half a century ago, - searchers working in a wide range of scienti?c disciplines have obtained an extremely powerful tool to pursue deep understanding of natural processes in physical, chemical, and biological systems. Computers pose a great ch- lenge to mathematical sciences, as the range of phenomena available for rigorous mathematical analysis has been enormously expanded, demanding the development of a new generation of mathematical tools. There is an explosive growth of new mathematical disciplines to satisfy this demand, in particular related to discrete mathematics. However, it can be argued that at large mathematics is yet to provide the essential breakthrough to meet the challenge. The required paradigm shift in our view should be compa- ble to the shift in scienti?c thinking provided by the Newtonian revolution over 300 years ago. Studies of large-scale random graphs and networks are critical for the progress, using methods of discrete mathematics, probabil- tic combinatorics, graph theory, and statistical physics. Recent advances in large scale random network studies are described in this handbook, which provides a signi?cant update and extension - yond the materials presented in the “Handbook of Graphs and Networks” published in 2003 by Wiley. The present volume puts special emphasis on large-scale networks and random processes, which deemed as crucial for - tureprogressinthe?eld. Theissuesrelatedtorandomgraphsandnetworks pose very di?cult mathematical questions.