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2009
ACM

Data parallel acceleration of decision support queries using Cell/BE and GPUs

10 years 7 months ago
Data parallel acceleration of decision support queries using Cell/BE and GPUs
Decision Support System (DSS) workloads are known to be one of the most time-consuming database workloads that processes large data sets. Traditionally, DSS queries have been accelerated using large-scale multiprocessor. The topic addressed in this work is to analyze the benefits of using high-performance/low-cost processors such as the GPUs and the Cell/BE to accelerate DSS query execution. In order to overcome the programming effort of developing code for different architectures, in this work we explore the use of a platform, Rapidmind, which offers the possibility of executing the same program on both Cell/BE and GPUs. To achieve this goal we propose data-parallel versions of the original database scan and join algorithms. In our experimental results we compare the execution of three queries from the standard DSS benchmark TPC-H on two systems with two different GPU models, a system with the Cell/BE processor, and a system with dual quad-core Xeon processors. The results show ...
Pedro Trancoso, Despo Othonos, Artemakis Artemiou
Added 22 Jul 2010
Updated 22 Jul 2010
Type Conference
Year 2009
Where CF
Authors Pedro Trancoso, Despo Othonos, Artemakis Artemiou
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