Comparing GPU and CPU in OLAP Cubes Creation
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
SOFSEM 2011: Theory and Practice of Computer Science, Lecture Notes in Computer Science, 2011, Volume 6543/2011, 308-319
@article{kaczmarski2011comparing,
title={Comparing GPU and CPU in OLAP cubes creation},
author={Kaczmarski, K.},
journal={SOFSEM 2011: Theory and Practice of Computer Science},
pages={308–319},
year={2011},
publisher={Springer}
}
GPGPU (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.
March 13, 2011 by hgpu
