Title:
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ONE SIZE DOES NOT FIT ALL: A CASE FOR HETEROGENEOUS MULTIPROCESSOR SYSTEMS |
Author(s):
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Pedro Trancoso |
ISBN:
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972-99353-6-X |
Editors:
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Nuno Guimarães and Pedro Isaías |
Year:
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2005 |
Edition:
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1 |
Keywords:
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Heterogeneous Multiprocessor, Energy Consumption, Database Workload. |
Type:
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Full Paper |
First Page:
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15 |
Last Page:
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22 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Traditionally, general-purpose multiprocessor systems are built out of a certain number of identical nodes, i.e. the systems are homogeneous. Heterogeneous systems are exceptions that happen only for special-purpose applications, for large-scale systems, or as a consequence of node updates. Nevertheless, different applications do not have the same characteristics or even the same goals. Consequently, a heterogeneous system is a much better match for the application requirements. The objective of this work is to find the best matching heterogeneous system configuration for a workload composed of database queries which may have one of two goals: high-performance or low-energy. Experiments were performed on simulated systems with up to 32 nodes and using a large number of database queries, where 50% of them had as goal high-performance and the rest low-energy. The results showed that for medium and large systems the heterogeneous configuration achieves a significant reduction of the total penalty, up to 62%, compared to the best homogeneous configuration. In addition, a heterogeneous system configured using a simple heuristic achieved a penalty reduction within 3% from the best heterogeneous configuration found with exhaustive search. These results lead to the conclusion that when configuring a multiprocessor it is necessary to seriously consider a heterogeneous configuration. |
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