Download or read book Adaptiveness in Structured Parallel Computations written by Gabriele Mencagli and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptiveness in distributed parallel applications is an essential feature whose importance has been assessed in research fields such as scientific computing, large-scale real-time simulations and emergency management systems. This feature is of special interest to properly and promptly respond to time-varying QoS requirements, to react to highly variable workload peaks and to deal with irregular parallel problems. Starting out from the performance predictability of structured parallelism schemes, this book describes a novel formalization of adaptive parallel modules performing structured parallel computations. The module behavior is described in terms of a Hybrid System abstraction and reconfigurations are driven using the Model-based Predictive Control approach. The book provides formal solutions to control large-scale distributed applications composed of several interacting adaptive modules. Concepts of non-cooperative games and distributed cooperative optimization are presented and applied to real examples. Finally, in the book the author discusses first validations of the proposed techniques through experiments performed in a simulation environment.
Download or read book A Control theoretic Methodology for Adaptive Structured Parallel Computations written by Gabriele Mencagli and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications written by Manish Parashar and published by John Wiley & Sons. This book was released on 2010-01-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems. The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits. Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic applications Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals.
Download or read book Parallel Computational Fluid Dynamics written by Rupak Biswas and published by DEStech Publications, Inc. This book was released on 2010 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parallel Computing written by Roman Trobec and published by Springer Science & Business Media. This book was released on 2009-06-18 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.
Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux and published by SIAM. This book was released on 2006-01-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Parallel Computational Fluid Dynamics 93 written by J. Hauser and published by Elsevier. This book was released on 1995-01-30 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the Parallel Computing Fluid Dynamics '93 Conference, Paris, 1993. A wide range of topics are covered including: networked computers, data parallel programming, domain decomposition, Euler and Navier-Stokes solvers. Researchers in this area will find this volume a useful reference in this rapidly developing field.
Download or read book Adaptive Parallelism for Computing on Heterogeneous Clusters written by Kam Hong Shum and published by . This book was released on 1996 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Until recent years most parallel machines have been made up of closely-coupled microprocessor-based computers. With the advent of high-performance workstations and high-speed networking, the aggregate computational power and memory capacity of workstation clusters have become attractive and indispensable resources for parallel computing. Techniques to harness the power of workstation cluster computing, however, require the development of practical methods for controlling heterogeneous resources dynamically. This dissertation proposes an integrated framework that comprises two related parts. The first part of the framework is a software structure that enables parallel applications to be adaptable to workload imbalances at runtime. To realize the adaptation, applications are partitioned into small components called tasks. The tasks are then grouped into grains; each grain is an object that facilitates execution of tasks on a workstation. An application can therefore optimize its performance by the reconfiguration of task-to-grain and grain-to- workstation mappings. Based on the software structure, the implementation and evaluation of workload distribution schemes for data-parallel and task- parallel applications are presented. The second part of the framework is a resource management system that allocates resources to parallel applications through competition. The applications respond to allocation decisions by dynamic reconfiguration. The objectives of the system are to maximize the speedup of the parallel applications and, at the same time, to allocate workstations fairly and efficiently to the applications. A prototype implementation which provides a testbed for studying the dynamics of competition is constructed. In addition, a new structure for organizing replicated parallel applications is developed and an architecture for a multi-user, multi-parallel program environment based on the proposed framework is suggested. The effectiveness of the concept and the framework is demonstrated by the results of experiments conducted on the testbed. The parallel applications involved in the experiments consist of block-matrix multiplication, cycle-searching of a non-linear iterated cryptographic function, and simulators of an ATM network."
Download or read book Applied Parallel Computing written by Jack Dongarra and published by Springer Science & Business Media. This book was released on 2006-03-03 with total page 1195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Applied Parallel Computing, PARA 2004, held in June 2004. The 118 revised full papers presented together with five invited lectures and 15 contributed talks were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections.
Download or read book Deep Learning and Parallel Computing Environment for Bioengineering Systems written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2019-07-26 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas. Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data
Download or read book Languages and Compilers for Parallel Computing written by Larry Carter and published by Springer Science & Business Media. This book was released on 2000-07-26 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 12th International Workshop on Languages and Compilers for Parallel Computing, LCPC'99, held in La Jolla, CA, USA in August 1999. The 27 revised full papers and 14 posters presented have gone through two rounds of selection and reviewing. The volume offers topical sections on Java, low-level transformations, data distribution, high-level transformations, models, array analysis, language support, and compiler design and cost analysis.
Download or read book Parallel Computational Fluid Dynamics 98 written by Chiao-ling Lin and published by Elsevier. This book was released on 1999-05-26 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the papers presented at the Parallel Computational Fluid Dynamics 1998 Conference. The book is focused on new developments and applications of parallel technology. Key topics are introduced through contributed papers and invited lectures. These include typical algorithmic developments, such as: distributed computing, domain decomposition and parallel algorithm. Some of the papers address the evaluations of software and machine performance and software tool environments. The application of parallel computers to complex fluid dynamics problems are also conveyed through sessions such as DNS/LES, combustion and reacting flows, industrial applications, water resources and environmental flows. The editors believe this book will provide many researchers, much beyond those contributing to this volume, with fresh information and reference.
Download or read book Parallel Computing Hits the Power Wall written by Arthur Francisco Lorenzon and published by Springer Nature. This book was released on 2019-11-05 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes several approaches to adaptability that are applied for the optimization of parallel applications, such as thread-level parallelism exploitation and dynamic voltage and frequency scaling on multicore systems. This book explains how software developers can apply a novel technique to adapt the number of threads at runtime without any modification in the source code nor recompilation. This book is useful for software developers in general since it offers realistic examples throughout to demonstrate various techniques presented.
Download or read book A Parallel Structure for On Line Identification and Adaptive Control written by Yong Hong Kim and published by . This book was released on 1987 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigated the possibility of employing parallel computing structures for adaptive identification and control. The identification algorithm is based on recursive least-squares with covariance resetting and block processing technique. It is shown how a parallel processing structure can be obtained by recursively applying Givens Rotation to the data matrix. Due to the regularity of its structure the approach presented is particularly attractive for VLSI implementation. Keywords: Parameter estimation.
Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux and published by SIAM. This book was released on 2006-01-01 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Structured Parallel Programming written by Michael McCool and published by Elsevier. This book was released on 2012-07-31 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed concrete examples using multiple programming models. The examples in this book are presented using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. Software developers, computer programmers, and software architects will find this book extremely helpful. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers
Download or read book Encyclopedia of Parallel Computing written by David Padua and published by Springer Science & Business Media. This book was released on 2011-09-08 with total page 2211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field. The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications. Within each area, concepts, designs, and specific implementations are presented. The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information. Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems. Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references and to additional significant research. Related Subjects: supercomputing, high-performance computing, distributed computing
