The Parallel Process
DOWNLOAD
Download The Parallel Process PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Parallel Process book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
The Parallel Process
DOWNLOAD
Author : Krissy Pozatek
language : en
Publisher: Lantern Books
Release Date : 2010-12
The Parallel Process written by Krissy Pozatek and has been published by Lantern Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12 with Family & Relationships categories.
For many parents of troubled teenagers, a therapeutic program that takes the child from the home for a period of time offers some respite from the daily tumult of acting out, lies, and tension that has left the family under siege. However, just as the teenager is embarking on a journey of self-discovery, skill-development, and emotional maturation, so parents too need to use this time to recognize that their own patterns may have contributed to their family's downward spiral. This is The Parallel Process. Using case studies garnered from her many years as an adolescent and family therapist, Krissy Pozatek shows parents of pre-teens, adolescents, and young adults how they can help their children by attuning to emotions, setting limits, not rushing to their rescue, and allowing them to take responsibility for their actions, while recognizing their own patterns of emotional withdrawal, workaholism, and of surrendering their lives and personalities to parenting. The Parallel Process is an essential primer for all parents, whether of troubled teens or not, who are seeking to help the family stay and grow together as they negotiate the potentially difficult teenage years.
A Calculus Of Distributed And Parallel Processes
DOWNLOAD
Author : Clemens H. Cap
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
A Calculus Of Distributed And Parallel Processes written by Clemens H. Cap and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
It is the good reader that makes the good book. RALPH WALDO EMERSON, Society & Solitude. In the course of two projects, the author of this book was involved in the design of the platforms PARFORM [CS93) and LOLA [Cap94), [CS) for the support of parallel computing in distributed systems. The former system was geared towards the highly efficient use of idle resources in networks of workstations, and the latter system was intended as a scalability study: How many workstations in the global Internet can be used simultaneously for solving a massively parallel problem? In one of the experiments conducted with these systems, up to 800 workstations on all five continents were cooperating for the solution of a search problem from molecular biology [Cap94). The most important lessons which the author was forced to learn during the course of these projects were not to rely on any documentation of network-and low-level system-calls, to use neither common sense nor mathematical logic during the design of a large distributed system, but to be happy with a working program, and not to ask, why it would work.
Parallel Processing And Parallel Algorithms
DOWNLOAD
Author : Seyed H Roosta
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-12-10
Parallel Processing And Parallel Algorithms written by Seyed H Roosta and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-12-10 with Computers categories.
Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.
The Parallel Processing Guide
DOWNLOAD
Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-10
The Parallel Processing Guide written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
Parallel processing is a powerful technique that allows computers to solve complex problems much faster than they could ever do on their own. By using multiple processors to work on the same problem simultaneously, parallel processing can significantly reduce the time it takes to complete a task. This comprehensive guide to parallel processing covers everything from the basics of parallel programming to the latest advances in parallel architectures. Written in a clear and concise style, it is accessible to both beginners and experienced programmers alike. The book begins with a brief history of parallel processing, followed by a discussion of the different types of parallel programming paradigms. It then covers load balancing and scheduling, communication and synchronization, and parallel algorithms. The book concludes with a look at the future of parallel processing, including the challenges and opportunities that lie ahead. This book is an essential resource for anyone who wants to learn more about parallel processing. It is also a valuable reference for experienced programmers who want to improve their skills in this important field. Here are some of the benefits of using parallel processing: * **Speed:** Parallel processing can significantly reduce the time it takes to complete a task. * **Efficiency:** Parallel processing can improve the efficiency of your code by using multiple processors to work on the same problem simultaneously. * **Scalability:** Parallel processing can be scaled up to use more processors, which can further improve the speed and efficiency of your code. * **Flexibility:** Parallel processing can be used to solve a wide variety of problems, from scientific computing to image processing to big data analytics. If you are ready to learn more about parallel processing, then this is the book for you. Order your copy today! If you like this book, write a review!
Programming Massively Parallel Processors
DOWNLOAD
Author : David B. Kirk
language : en
Publisher: Newnes
Release Date : 2012-12-31
Programming Massively Parallel Processors written by David B. Kirk and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-31 with Computers categories.
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Parallel Processing For Scientific Computing
DOWNLOAD
Author : Michael A. Heroux
language : en
Publisher: SIAM
Release Date : 2006-01-01
Parallel Processing For Scientific Computing written by Michael A. Heroux and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Computers categories.
Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering. This edited volume serves as an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for graduate and senior-level undergraduate students interested in computational modeling and simulation and related computer science and applied mathematics aspects.Contents List of Figures; List of Tables; Preface; Chapter 1: Frontiers of Scientific Computing: An Overview; Part I: Performance Modeling, Analysis and Optimization. Chapter 2: Performance Analysis: From Art to Science; Chapter 3: Approaches to Architecture-Aware Parallel Scientific Computation; Chapter 4: Achieving High Performance on the BlueGene/L Supercomputer; Chapter 5: Performance Evaluation and Modeling of Ultra-Scale Systems; Part II: Parallel Algorithms and Enabling Technologies. Chapter 6: Partitioning and Load Balancing; Chapter 7: Combinatorial Parallel and Scientific Computing; Chapter 8: Parallel Adaptive Mesh Refinement; Chapter 9: Parallel Sparse Solvers, Preconditioners, and Their Applications; Chapter 10: A Survey of Parallelization Techniques for Multigrid Solvers; Chapter 11: Fault Tolerance in Large-Scale Scientific Computing; Part III: Tools and Frameworks for Parallel Applications. Chapter 12: Parallel Tools and Environments: A Survey; Chapter 13: Parallel Linear Algebra Software; Chapter 14: High-Performance Component Software Systems; Chapter 15: Integrating Component-Based Scientific Computing Software; Part IV: Applications of Parallel Computing. Chapter 16: Parallel Algorithms for PDE-Constrained Optimization; Chapter 17: Massively Parallel Mixed-Integer Programming; Chapter 18: Parallel Methods and Software for Multicomponent Simulations; Chapter 19: Parallel Computational Biology; Chapter 20: Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.
When Family Businesses Are Best
DOWNLOAD
Author : R. Carlock
language : en
Publisher: Springer
Release Date : 2010-10-14
When Family Businesses Are Best written by R. Carlock and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-14 with Business & Economics categories.
The authors explore how effective planning and communication helps business families around the world address growth challenges as they strive to become high performing multi-generation family enterprises. This book shows family businesses working together at their best.
Process Algebra For Parallel And Distributed Processing
DOWNLOAD
Author : Michael Alexander
language : en
Publisher: CRC Press
Release Date : 2008-12-22
Process Algebra For Parallel And Distributed Processing written by Michael Alexander and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-22 with Computers categories.
Collects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning-process algebra-has become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel Pr
Algorithms Architectures For Parallel Processing 4th Intl Conf
DOWNLOAD
Author : Andrzej Marian Goscinski
language : en
Publisher: World Scientific
Release Date : 2000-11-24
Algorithms Architectures For Parallel Processing 4th Intl Conf written by Andrzej Marian Goscinski and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-11-24 with Computers categories.
ICA3PP 2000 was an important conference that brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. The proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications.
Mining Very Large Databases With Parallel Processing
DOWNLOAD
Author : Alex A. Freitas
language : en
Publisher: Springer Science & Business Media
Release Date : 1997-11-30
Mining Very Large Databases With Parallel Processing written by Alex A. Freitas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-11-30 with Computers categories.
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.