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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: Conference or Workshop Item
Language:English
English
English
Published: 2013
Subjects:
TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:http://irep.iium.edu.my/31940/1/2096.pdf
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http://irep.iium.edu.my/31940/6/icomabstracts.pdf
http://irep.iium.edu.my/31940/
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spelling my.iium.irep.319402013-10-10T07:13:41Z http://irep.iium.edu.my/31940/ 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. 2013-07-02 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/31940/1/2096.pdf application/pdf en http://irep.iium.edu.my/31940/4/image002.png application/pdf en http://irep.iium.edu.my/31940/6/icomabstracts.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. In: 5th International Conference on Mechatronics (ICOM'13), 2 – 4 July 2013, Kuala Lumpur, Malaysia.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
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 Conference or Workshop Item
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
publishDate 2013
url http://irep.iium.edu.my/31940/1/2096.pdf
http://irep.iium.edu.my/31940/4/image002.png
http://irep.iium.edu.my/31940/6/icomabstracts.pdf
http://irep.iium.edu.my/31940/
_version_ 1643610086203981824
score 13.211869

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