An analytical model of multi-core multi-cluster architecture (MCMCA)
An analytical model of multi-core multi-cluster architecture (MCMCA)
Multi-core clusters have emerged as an important contribution in computing technology for provisioning additional processing power in high performance computing and communications. Multi-core architectures are proposed for their capability to provide higher performance without increasing heat and power usage, which is the main concern in a single-core processor. This paper introduces analytical models of a new architecture for large-scale multi-core clusters to improve the communication performance within the interconnection network. The new architecture will be based on a multi - cluster architecture containing clusters of multi-core processors
1-12
Hamid, Norhazlina
22e1e955-20ef-4d80-92e3-1d2e8813f334
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary Brian
3a594558-6921-4e82-8098-38cd8d4e8aa0
2015
Hamid, Norhazlina
22e1e955-20ef-4d80-92e3-1d2e8813f334
Walters, Robert John
7b8732fb-3083-4f4d-844e-85a29daaa2c1
Wills, Gary Brian
3a594558-6921-4e82-8098-38cd8d4e8aa0
Hamid, Norhazlina, Walters, Robert John and Wills, Gary Brian
(2015)
An analytical model of multi-core multi-cluster architecture (MCMCA).
Open Journal of Cloud Computing (OJCC), 2 (1), .
Abstract
Multi-core clusters have emerged as an important contribution in computing technology for provisioning additional processing power in high performance computing and communications. Multi-core architectures are proposed for their capability to provide higher performance without increasing heat and power usage, which is the main concern in a single-core processor. This paper introduces analytical models of a new architecture for large-scale multi-core clusters to improve the communication performance within the interconnection network. The new architecture will be based on a multi - cluster architecture containing clusters of multi-core processors
Text
OJCC_2015v2i1n01_Hamid.pdf
- Accepted Manuscript
More information
Published date: 2015
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 374744
URI: http://eprints.soton.ac.uk/id/eprint/374744
ISSN: 2199-1987
PURE UUID: 31c1c7ce-0de0-40f3-9014-e923a5ade7c4
Catalogue record
Date deposited: 02 Mar 2015 09:42
Last modified: 15 Mar 2024 02:51
Export record
Contributors
Author:
Norhazlina Hamid
Author:
Robert John Walters
Author:
Gary Brian Wills
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics