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Memory latency evaluation in cluster-based cache-coherent multiprocessor systems with different interconnection topologies
- Date Issued:
- 1997
- Summary:
- This research investigates memory latency of cluster-based cache-coherent multiprocessor systems with different interconnection topologies. We focus on a cluster-based architecture which is a variation of Stanford DASH architecture. The architecture, also, has some similarities with the STiNG architecture from Sequent Computer System Inc. In this architecture, a small number of processors and a portion of shared-memory are connected through a bus inside each cluster. As the number of processors per cluster is small, snoopy protocol is used inside each cluster. Each processor has two levels of caches and for each cluster a separate directory is maintained. Clusters are connected using directory-based scheme through an interconnection network to make the system scaleable. Trace-driven simulation has been developed to evaluate the overall memory latency of this architecture using three different network topologies, namely ring, mesh, and hypercube. For each network topology, the overall memory latency has been evaluated running a representative set of SPLASH-2 applications. Simulation results show that, the cluster-based multiprocessor system with hypercube topology outperforms those with mesh and ring topologies.
Title: | Memory latency evaluation in cluster-based cache-coherent multiprocessor systems with different interconnection topologies. |
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Name(s): |
Asaduzzaman, Abu Sadath Mohammad Florida Atlantic University, Degree grantor Mahgoub, Imad, Thesis advisor |
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Type of Resource: | text | |
Genre: | Electronic Thesis Or Dissertation | |
Issuance: | monographic | |
Date Issued: | 1997 | |
Publisher: | Florida Atlantic University | |
Place of Publication: | Boca Raton, Fla. | |
Physical Form: | application/pdf | |
Extent: | 134 p. | |
Language(s): | English | |
Summary: | This research investigates memory latency of cluster-based cache-coherent multiprocessor systems with different interconnection topologies. We focus on a cluster-based architecture which is a variation of Stanford DASH architecture. The architecture, also, has some similarities with the STiNG architecture from Sequent Computer System Inc. In this architecture, a small number of processors and a portion of shared-memory are connected through a bus inside each cluster. As the number of processors per cluster is small, snoopy protocol is used inside each cluster. Each processor has two levels of caches and for each cluster a separate directory is maintained. Clusters are connected using directory-based scheme through an interconnection network to make the system scaleable. Trace-driven simulation has been developed to evaluate the overall memory latency of this architecture using three different network topologies, namely ring, mesh, and hypercube. For each network topology, the overall memory latency has been evaluated running a representative set of SPLASH-2 applications. Simulation results show that, the cluster-based multiprocessor system with hypercube topology outperforms those with mesh and ring topologies. | |
Identifier: | 9780591455366 (isbn), 15447 (digitool), FADT15447 (IID), fau:12211 (fedora) | |
Collection: | FAU Electronic Theses and Dissertations Collection | |
Note(s): |
College of Engineering and Computer Science Thesis (M.S.)--Florida Atlantic University, 1997. |
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Subject(s): |
Computer network architectures Multiprocessors |
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Held by: | Florida Atlantic University Libraries | |
Persistent Link to This Record: | http://purl.flvc.org/fcla/dt/15447 | |
Sublocation: | Digital Library | |
Use and Reproduction: | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. | |
Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
Host Institution: | FAU | |
Is Part of Series: | Florida Atlantic University Digital Library Collections. |