Iterative Methods for Dynamic Load Balancing in Multicomputers PDF Download
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Author: Cheng-Zhong Xu
Publisher: Open Dissertation Press
ISBN: 9781374758872
Category :
Languages : en
Pages :
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Book Description
This dissertation, "Iterative Methods for Dynamic Load Balancing in Multicomputers" by 須成忠, Cheng-zhong, Xu, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3123330 Subjects: Parallel processing (Electronic computers) Iterative methods (Mathematics)
Author: Cheng-Zhong Xu
Publisher: Open Dissertation Press
ISBN: 9781374758872
Category :
Languages : en
Pages :
Get Book Here
Book Description
This dissertation, "Iterative Methods for Dynamic Load Balancing in Multicomputers" by 須成忠, Cheng-zhong, Xu, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b3123330 Subjects: Parallel processing (Electronic computers) Iterative methods (Mathematics)
Author: Cheng-zhong Xu
Publisher:
ISBN:
Category : Iterative methods (Mathematics)
Languages : en
Pages : 110
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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: Marc Hubert Willebeek-LeMair
Publisher:
ISBN:
Category :
Languages : en
Pages : 356
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Book Description
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: P. Wesseling
Publisher: Springer Science & Business Media
ISBN: 9400902719
Category : Technology & Engineering
Languages : en
Pages : 285
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Book Description
Proceedings of the Summerschool on High Performance Computing in Fluid Dynamics, held at Delft University of Technology, the Netherlands, June 24-28 1996
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: Ching-Hsien Hsu
Publisher: Springer
ISBN: 3642148220
Category : Computers
Languages : en
Pages : 314
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Book Description
It is our great pleasure to present the proceedings of the second Russia–Taiwan Symposium on Methods and Tools of Parallel Programming (MTPP 2010). MTPP is the main regular event of the Russia–Taiwan scientific forum that covers the many dimensions of methods and tools of parallel programming, algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated every aspect of daily life, the power of computing systems has become increasingly critical. Therefore, MTPP is intended to play an important role allowing researchers to exchange information regarding advancements in the state of the art and practice of IT-driven services and applications, as well as to identify emerging research topics and define the future directions of parallel computing. We received a large number of high-quality submissions this year. In the first stage, all papers submitted were screened for their relevance and general submission requirements. These manuscripts then underwent a rigorous peer-review process with at least three reviewers per paper. At the end, 33 papers were accepted for presentation and included in the main proceedings. To encourage and promote the work presented at MTPP 2010, we are delighted to inform the authors that some of the papers will be accepted in special issues of the Journal of Supercomputing, which has played a prominent role in promoting the development and use of parallel and distributed processing.
Author:
Publisher: DIANE Publishing
ISBN: 1428961860
Category :
Languages : en
Pages : 20
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Book Description
Author: MAHEEN. ISLAM
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659114977
Category :
Languages : de
Pages : 0
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Book Description
The load balancing algorithms are based on the intuition that for better resource utilization it is desirable for the load in distributed system to be balanced evenly. Thus, a load balancing algorithm tries to distribute the total system load among the processing elements such that each processing elements receives approximately equal amount of load. A novel distributed algorithm for load balancing is proposed here which is based on the global load balancing information and current load distribution of the system. A simulation model is developed to compare the performance of the proposed method with the previously stated methods like MCSTLB (Maximum Cost Spanning Tree Load Balancing) method, BTLB (Binary Tree Load Balancing) method, and CBTLB (Condensed Binary Tree Load Balancing) method and Cluster method. Two criteria, the execution time and the number of process migration required by different load balancing methods are used for performance evaluation. The experimental result shows that the execution time and the number of process migration required by the proposed method is better than that of the existing methods.
