Comparing GPU and CPU in OLAP Cubes Creation
AbstractGPGPU (General Purpose Graphical Processing Unit) programming is receiving more attention recently because of enormous computations speed up offered by this technology. GPGPU is applied in many branches of science and industry not excluding databases, even if this is not the primary field of expected benefits. In this paper a typical time consuming database algorithm, i.e. OLAP cube creation, implemented on GPU is compared to its CPU counterpart by analysis of performance, scalability, programming and optimisation ease. Results are discussed formulating roadmap for future GPGPU applications in databases.
|Book||Černá Ivana, Gyimóthy Tibor, Hromkovič Juraj, Jefferey Keith, Králović Rastislav, Vukolić Marko, Wolf Stefan (eds.): SOFSEM 2011: Theory and Practice of Computer Science, Lecture Notes In Computer Science, no. 6543, 2011, Springer Berlin Heidelberg, ISBN 978-3-642-18380-5, 978-3-642-18381-2|
|Keywords in English||Algorithm Analysis and Problem Complexity, Computer Communication Networks, CUDA, Database Management, Data Storage Representation, Discrete Mathematics in Computer Science, GPGPU, GPGPU optimization, OLAP cube, Software Engineering|
|Citation count*||10 (2015-08-18)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.