A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing

The overwhelmingly increasing amount of stored data has spurred researchers seeking different methods in order to optimally take advantage of it which mostly have faced a response time problem as a result of this enormous size of data. Most of solutions have suggested materialization as a favourite...

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Main Authors:	Alzeini, Haytham I M, Hameed, Shihab A., Habaebi, Mohamed Hadi
Format:	Article
Language:	English
Published:	IOP Publishing 2013
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf

id	iium-33965
recordtype	eprints
spelling	iium-339652014-01-08T06:53:58Z http://irep.iium.edu.my/33965/ A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi TK5101 Telecommunication. Including telegraphy, radio, radar, television The overwhelmingly increasing amount of stored data has spurred researchers seeking different methods in order to optimally take advantage of it which mostly have faced a response time problem as a result of this enormous size of data. Most of solutions have suggested materialization as a favourite solution. However, such a solution cannot attain Real-Time answers anyhow. In this paper we propose a framework illustrating the barriers and suggested solutions in the way of achieving Real-Time OLAP answers that are significantly used in decision support systems and data warehouses. IOP Publishing 2013-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf Alzeini, Haytham I M and Hameed, Shihab A. and Habaebi, Mohamed Hadi (2013) A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing. IOP Conference Series: Materials Science and Engineering, 53 (Conf.1). 012043-1. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012043 10.1088/1757-899X/53/1/012043
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
description	The overwhelmingly increasing amount of stored data has spurred researchers seeking different methods in order to optimally take advantage of it which mostly have faced a response time problem as a result of this enormous size of data. Most of solutions have suggested materialization as a favourite solution. However, such a solution cannot attain Real-Time answers anyhow. In this paper we propose a framework illustrating the barriers and suggested solutions in the way of achieving Real-Time OLAP answers that are significantly used in decision support systems and data warehouses.
format	Article
author	Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi
author_facet	Alzeini, Haytham I M Hameed, Shihab A. Habaebi, Mohamed Hadi
author_sort	Alzeini, Haytham I M
title	A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
title_short	A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
title_full	A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
title_fullStr	A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
title_full_unstemmed	A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing
title_sort	framework for developing real-time olap algorithm using multi-core processing and gpu: heterogeneous computing
publisher	IOP Publishing
publishDate	2013
url	http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/ http://irep.iium.edu.my/33965/1/1757-899X_53_1_012043.pdf
first_indexed	2023-09-18T20:49:02Z
last_indexed	2023-09-18T20:49:02Z
_version_	1777409869249249280

A framework for developing Real-Time OLAP algorithm using multi-core processing and GPU: heterogeneous computing

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