The M2 hierarchical multiprocessor

Oyang, Yen-Jen; Sheu, D.J.; Cheng, Chih-Yuan; Yang, Chia-Hsiang

doi:10.1016/0167-739x(93)90014-g

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…The hierarchical shared memory cluster architecture is shown in Figure 2. It mainly consists of local interconnection network and global interconnection network [8]. The local interconnection network connects processors of each cluster to the cluster's shared memory.…”

Section: Comparison Of Cluster Architecturesmentioning

confidence: 99%

“…In this development the hierarchical shared memory cluster system prevails due to its hardware simplicity and cost-effectiveness. Several shared memory cluster systems with large number of processors have been designed using hierarchy of processors in clusters [7,8]. The hierarchical shared memory cluster system efficiently supports the hierarchy of memories using a common memory.…”

Section: Main Characteristics Of Shared Memory Clustersmentioning

confidence: 99%

“…The architecture of the cluster systems should be flexible enough to handle any component or subcomponent that is required to make the system. The fault tolerance in the clusters provides error information in real time and makes it possible to detect which part or component needs repair and accordingly initiates a service call to identify the parts needed for maintenance [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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A Comparative Analysis of Performance of Shared Memory Cluster Computing Interconnection Systems

Tripathy¹,

Tripathy

2014

Journal of Computer Networks and Communications

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In recent past, many types of shared memory cluster computing interconnection systems have been proposed. Each of these systems has its own advantages and limitations. With the increase in system size of the cluster interconnection systems, the comparative analysis of their various performance measures becomes quite inevitable. The cluster architecture, load balancing, and fault tolerance are some of the important aspects, which need to be addressed. The comparison needs to be made in order to choose the best one for a particular application. In this paper, a detailed comparative study on four important and different classes of shared memory cluster architectures has been made. The systems taken up for the purpose of the study are shared memory clusters, hierarchical shared memory clusters, distributed shared memory clusters, and the virtual distributed shared memory clusters. These clusters are analyzed and compared on the basis of the architecture, load balancing, and fault tolerance aspects. The results of comparison are reported.

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Section: Comparison Of Cluster Architecturesmentioning

confidence: 99%

Section: Main Characteristics Of Shared Memory Clustersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Analysis of Performance of Shared Memory Cluster Computing Interconnection Systems

Tripathy¹,

Tripathy

2014

Journal of Computer Networks and Communications

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show abstract

“…In this development the hierarchical shared memory cluster system prevails due to its hardware simplicity and cost effectiveness. Several shared memory cluster systems with large number of processors have been designed using hierarchy of processors in clusters [4][5]. The Hierarchical shared memory cluster system efficiently supports the hierarchy of memories sharing a common memory [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Hierarchical Shared Memory Cluster Architecture with Load Balancing and Fault Tolerance

Tripathy¹,

Tripathy²

2011

IJCA

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Recently a great deal of attention has been paid to the design of hierarchical shared memory cluster system. Cluster computing has made hierarchical computing systems increasingly common as target environment for large-scale scientific computations. This paper proposes hierarchical shared memory cluster architecture with load balancing and fault tolerance. Hierarchies of shared memory and caches structure the architecture. The hierarchical load balancing approach focuses on reducing the redistribution cost. The fault tolerant model is adopted to build highly available clusters in hierarchical shared memory clusters. Performance analysis and results reveal that hierarchical shared memory clusters performs much better creating a reliable hierarchical network cluster system with high scalability.

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Parallel Computer Construction Outside the United States

Duncan¹

1997

Advances in Computers

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The M2 hierarchical multiprocessor

Cited by 3 publications

References 9 publications

A Comparative Analysis of Performance of Shared Memory Cluster Computing Interconnection Systems

A Comparative Analysis of Performance of Shared Memory Cluster Computing Interconnection Systems

A Hierarchical Shared Memory Cluster Architecture with Load Balancing and Fault Tolerance

Parallel Computer Construction Outside the United States

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