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Author: Marc Hubert Willebeek-LeMair
Publisher:
ISBN:
Category : Parallel computers
Languages : en
Pages : 32
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Book Description
Author: Marc Hubert Willebeek-LeMair
Publisher:
ISBN:
Category : Parallel computers
Languages : en
Pages : 32
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Book Description
Author: Georg Stellner
Publisher: Springer-Verlag
ISBN: 366301522X
Category : Technology & Engineering
Languages : de
Pages : 175
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Book Description
Author: Chenzhong Xu
Publisher: Springer Science & Business Media
ISBN: 079239819X
Category : Computers
Languages : en
Pages : 217
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Book Description
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.
Author: Chenzhong Xu
Publisher: Springer
ISBN: 0585272565
Category : Computers
Languages : en
Pages : 217
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Book Description
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.
Author: Mark A. Franklin
Publisher:
ISBN:
Category : Mathematical optimization
Languages : en
Pages : 23
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Book Description
Abstract: "Effective load balancing algorithms are crucial in fully realizing the performance potential of parallel computer systems. This paper proposes a general matrix iterative model to represent a range of dynamic load balancing algorithms. The model and associated performance measures are used to evaluate and compare various load balancing algorithms and derive optimal algorithms and associated parameters for a given application and multiprocessor system. The model is parameterized to represent three load balancing algorithms -- the random strategy, diffusion and complete redistribution algorithms. The model is validated by comparing the results with measured performance on a realistic workload. The parallel N-body simulation application used for this purpose has a number of interesting properties and is representative of a wide class of realistic scientific applications. The performance of the three algorithms are compared and optimal algorithm parameters derived for the application. The random strategy outperforms both the diffusion (12% better) and the redistribution (30% better) algorithms and its performance is within 25% of the ideal load balance case. General performance models such as the one presented in this paper can be used to guide the algorithm designer in choosing the best algorithm and associated parameters for a given environment."
Author: Marc Hubert Willebeek-LeMair
Publisher:
ISBN:
Category :
Languages : en
Pages : 356
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Book Description
Author: Bo Kagström
Publisher: Springer
ISBN: 3540757554
Category : Computers
Languages : en
Pages : 1218
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Book Description
This book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Applied Parallel Computing, PARA 2006. It covers partial differential equations, parallel scientific computing algorithms, linear algebra, simulation environments, algorithms and applications for blue gene/L, scientific computing tools and applications, parallel search algorithms, peer-to-peer computing, mobility and security, algorithms for single-chip multiprocessors.
Author: Columbia University. Dept. of Computer Science
Publisher:
ISBN:
Category : Distributed databases
Languages : en
Pages : 18
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Book Description
Abstract: "In this paper, we present new algorithms to balance the computation of parallel hash joins over heterogeneous processors in the presence of data skew and external loads. Heterogeneity in our model consists of disparate computing elements, as well as general purpose computing ensembles that are subject to external loading (e.g., a LAN connected workstation cluster). Data skew manifests itself as significant nonuniformities in the distribution of attribute values of underlying relations that are involved in a join. We develop cost models and predictive dynamic load balancing protocols to detect imbalance during the computation of a single large join. New predictive bucket scheduling algorithms are presented that smooth out the load over the entire ensemble by reallocating buckets whenever imbalance is detected. Our algorithms can account for imbalance due to data skew as well as heterogeneity in the computing environment. Significant performance gains are reported for a wide range of test cases on a prototype implementation of the system."
Author: Dr P. SrinivasaRao
Publisher: Lulu.com
ISBN: 1387388762
Category : Education
Languages : en
Pages : 97
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Book Description
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
Author: Nikos Chrisochoides
Publisher:
ISBN:
Category : Differential equations, Partial
Languages : en
Pages : 32
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Book Description
Abstract: "We present a multithreaded model for the dynamic load- balancing of numerical, adaptive computations required for the solution of Partial Differential Equations (PDEs) on multiprocessors. Multithreading is used as a means of exploring concurrency at the processor level in order to tolerate synchronization costs inherent to traditional (non-threaded) parallel adaptive PDE solvers. Our preliminary analysis for parallel, adaptive PDE solvers indicates that multithreading can be used as a mechanism to mask overheads required for the dynamic balancing of processor workloads with computations required for the actual numerical solution of the PDEs. Also, multithreading can simplify the implementation of dynamic load-balancing algorithms, a task that is very difficult for traditional data parallel adaptive PDE computations. Unfortunately, multithreading does not always simplify program complexity, often makes code re-usability difficult, and increases software complexity."
