The effect of application characteristics on performance in a parallel architecture

Arenas, Adolfo Guzmán; Krall, Edward J.; McGehearty, Patrick F.; Bagherzadeh, Nader

doi:10.1109/hicss.1988.11762

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2011

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cluster based architectures become quite appealing when a system is built with a large number of processors and memory modules [1][2][3]. A Shared memory cluster system needs less expensive interconnection network compared to that of a non clustered based system.…”

Section: Introductionmentioning

confidence: 99%

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

Tripathy¹,

Tripathy²

2011

IJCA

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%