Download or read book A New distributed diffusion algorithm for dynamic load balancing in parallel systems written by Ana Cortés Fité and published by . This book was released on 2000 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dynamic Load Distribution for Parallel Applications written by Georg Stellner and published by Springer-Verlag. This book was released on 2013-07-29 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Load Balancing in Parallel Computers written by Chenzhong Xu and published by Springer Science & Business Media. This book was released on 1996-11-30 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2. Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network. Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject.
Download or read book A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH written by Dr P. SrinivasaRao and published by Lulu.com. This book was released on 2017-12-30 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: A distributed system consists of many heterogeneous processors with different processing power and all processors are interconnected with a communication channel. In such a system, if some processors are less loaded or idle and others are heavily loaded, the system performance will be reduced drastically. System performance can be improved by using proper load balancing [1, 4]. The aim of load balancing is to improve the performance measures and reduce the overall completion time and cost
Download or read book Dynamic Load Balancing for Parallel and Distributed Systems written by Zhiling Lan and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many scientific applications for which the computational load varies throughout the execution and causes uneven distribution of workload during run-time. One such class of applications is Adaptive Mesh Refinement (AMR) applications. AMR is a type of multiscale algorithm that achieves high resolution in localized regions of dynamic, multidimensional numerical simulations. A typical AMR application may require enormous computing resources, which usually cannot be satisfied by a single-processor machine, thereby requiring parallel and distributed systems. One of the key issues related to AMR is dynamic load balancing (DLB), which allows large-scale adaptive applications to run efficiently on parallel and distributed systems. In investigating DLB schemes, we first complete a detailed analysis of structured AMR (SAMR) applications, identifying the unique characteristics that impose severe challenges on DLB schemes. The results indicate that most of the available DLB schemes are not appropriate for SAMR applications due to their unique adaptive characteristics. Thus, we propose a novel dynamic load balancing scheme for SAMR applications on parallel systems (denoted as parallel DLB). It integrates a grid-splitting technique with direct grid movements, for which the objective is to reduce the parallel execution time. Further, our experiment shows that simply moving a DLB scheme designed for parallel systems to distributed systems will introduce significant overhead. Therefore, we propose a framework for dynamic load balancing on distributed systems (denoted as distributed DLB). It takes into consideration: (1) heterogeneity of processors, (2) heterogeneity of networks, (3) shared nature of networks, and (4) adaptive characteristics of the applications. For SAMR applications, the distributed DLB incorporates the proposed parallel DLB during the load balancing process. Both parallel DLB and distributed DLB were implemented in the ENZO code, a parallel implementation of SAMR in astrophysics and cosmology. Experiments show that the proposed DLB schemes can significantly improve the performance of SAMR applications on both parallel and distributed systems in terms of the total execution time and the quality of load balancing.
Download or read book Dynamic Load Balancing in Heterogeneous Distributed Environments written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel and distributed architectures are emerging as commonplace platforms for high performance computing. The existence of standard parallel programming libraries facilitates the use of such platforms for running challenging applications in science or engineering. However, as compared to the homogeneous case, a number of additional factors should be taken into account in order to ensure an efficient execution on heterogeneous computing environments. In such systems one must consider not only the application's dynamic behavior but also the environment's dynamics. We dealt with the dynamic load balancing for parallel adaptive simulations in heterogeneous computing environments. Such applications are usually characterized by the fact that the workloads assigned to processors may change significantly and unpredictably. Our work followed two main directions. In a first step we developed a theoretical heterogeneous computational model and we extended and analyzed the well-known diffusion algorithms with respect to such a model. Afterwards, our variant of generalized diffusion was further compared with other approaches and was shown to be faster than another popular technique, the hydrodynamic algorithm. The possibility of using polynomial acceleration schemes in a dynamic context was further investigated. Other faster dynamic load balancing schemes were proposed and investigated. An incremental algorithm that is capable of taking advantage of an already computed fair distribution for computing a new one was described. In a second step, we designed and implemented a testbed for adaptive numerical simulations in heterogeneous computing environments. A tool, called HeRMeS, which allows to perform such simulations and that incorporates the methods developed at the first step, was designed and implemented. Experiments with the discussed methods and with HeRMeS were performed.
Download or read book Distributed and Parallel Systems written by Péter Kacsuk and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed and Parallel Systems: Cluster and Grid Computing is the proceedings of the fourth Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by Johannes Kepler University, Linz, Austria and the MTA SZTAKI Computer and Automation Research Institute. The papers in this volume cover a broad range of research topics presented in four groups. The first one introduces cluster tools and techniques, especially the issues of load balancing and migration. Another six papers deal with grid and global computing including grid infrastructure, tools, applications and mobile computing. The next nine papers present general questions of distributed development and applications. The last four papers address a crucial issue in distributed computing: fault tolerance and dependable systems. This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.
Download or read book Proceedings of the 4th Workshop on PASA 96 Parallel Systems Algorithms Research Center J ulich Germany 10 12 April 1996 written by Workshop on PASA '96 and published by World Scientific. This book was released on 1997 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The PASA Workshops aim to build a bridge between theory and practice in the area of parallel systems and algorithms. Practical problems which require theoretical investigations as well as the applicability of theoretical approaches and results to practice are discussed. A particularly important aspect is the communication and exchange of experiences between various groups working in various areas of parallel computing, e.g. computer science, electrical engineering, physics and mathematics. This volume discusses many aspects of parallel computing from a theoretical as well as a practice-oriented point of view. It shows that there are a number of promising approaches for the application of formal methods to the solution of practical problems in the area of parallel systems and algorithms."--Publisher's website
Download or read book Optimal Load Balancing in Distributed Computer Systems written by Hisao Kameda and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important consideration in improving the performance of a distributed computer system is the balancing of the load between the host computers. Load balancing may be either static or dynamic; static balancing strategies are generally based on information about the system's average behavior rather than its actual current state, while dynamic strategies react to the current state when making transfer decisions. Although it is often conjectured that dynamic load balancing outperforms static, careful investigation shows that this view is not always valid. Recent research on the problem of optimal static load balancing is clearly and intuitively presented, with coverage of distributed computer system models, problem formulation in load balancing, and effective algorithms for implementing optimization. Providing a thorough understanding of both static and dynamic strategies, this book will be of interest to all researchers and practitioners working to optimize performance in distributed computer systems.
Download or read book Parallel Program Development for Cluster Computing written by José Cardoso Cunha and published by Nova Publishers. This book was released on 2001 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is divided into two parts, the first one covering the concepts and methodologies, and the second describing the tools and integrated environments that were developed in those projects. In this way, we hope that the reader will find the book useful not only concerning an identification of current trends in parallel program development, but also concerning their practical illustration through concrete tools and environments.
Download or read book Dynamic Load Balancing Algorithms in Homogeneous Distributed Systems written by Chi-Yin Huang Hsu and published by . This book was released on 1986 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Euro Par 2006 Parallel Processing written by Wolfgang E. Nagel and published by Springer Science & Business Media. This book was released on 2006-08-24 with total page 1228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Parallel Computing, Euro-Par 2006. The book presents 110 carefully reviewed, revised papers. Topics include support tools and environments; performance prediction and evaluation; scheduling and load balancing; compilers for high performance; parallel and distributed databases, data mining and knowledge discovery; grid and cluster computing: models, middleware and architectures; parallel computer architecure and instruction-level parallelism; distributed systems and algorithms, and more.
Download or read book Dynamic load balancing in a distributed system using a sender initiated algorithm written by A. Hac and published by . This book was released on 1986 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dynamic Process Migration for Load Balancing in Distributed Systems written by Chong-Wei Xu and published by . This book was released on 1986 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Euro Par 2010 Parallel Processing written by Pasqua D'Ambra and published by Springer Science & Business Media. This book was released on 2010-08-18 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Euro-Par Conference held in Ischia, Italy, in August/September 2010. The 90 revised full papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load-balancing; high performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks; and mobile and ubiquitous computing.
Download or read book Grid Generation and Adaptive Algorithms written by Marshall W. Bern and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IMA Volume in Mathematics and its Applications GRID GENERATION AND ADAPTIVE ALGORITHMS is based on the proceedings of a workshop with the same title. The work shop was an integral part of the 1996-97 IMA program on "MATHEMAT ICS IN HIGH-PERFORMANCE COMPUTING. " I would like to thank Marshall Bern (Xerox, Palo Alto Research Cen ter), Joseph E. Flaherty (Department of Computer Science, Rensselaer Polytechnic Institute), and Mitchell Luskin (School of Mathematics, Uni versity of Minnesota), for their excellent work as organizers of the meeting and for editing the proceedings. I also take this opportunity to thank the National Science Founda tion (NSF), Department of Energy (DOE), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr. , Professor and Director v PREFACE Scientific and engineering computation has become so complex that traditional numerical computation on uniform meshes is generally not pos sible or too expensive. Mesh generation must reflect both the domain geometry and the expected solution characteristics. Meshes should, fur thermore, be related to the solution through computable estimates of dis cretization errors. This, suggests an automatic and adaptive process where an initial mesh is enriched with the goal of computing a solution with prescribed accuracy specifications in an optimal manner. While automatic mesh generation procedures and adaptive strategies are becoming available, major computational challenges remain. Three-dimensional mesh genera tion is still far from automatic.
Download or read book Computational Science ICCS 2004 written by Marian Bubak and published by Springer. This book was released on 2004-05-12 with total page 1376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ICCS 2002 in Amsterdam, The Netherlands; and ICCS 2001 in San Francisco, USA. As computational science is still evolving in its quest for subjects of inves- gation and e?cient methods, ICCS 2004 was devised as a forum for scientists from mathematics and computer science, as the basic computing disciplines and application areas, interested in advanced computational methods for physics, chemistry, life sciences, engineering, arts and humanities, as well as computer system vendors and software developers. The main objective of this conference was to discuss problems and solutions in all areas, to identify new issues, to shape future directions of research, and to help users apply various advanced computational techniques. The event harvested recent developments in com- tationalgridsandnextgenerationcomputingsystems,tools,advancednumerical methods, data-driven systems, and novel application ?elds, such as complex - stems, ?nance, econo-physics and population evolution.
