Improving performance using computational compression through memoization: A case study using a railway power consumption simulator
A Calderón, A García… - … Journal of High …, 2016 - journals.sagepub.com
The objective of data compression is to avoid redundancy in order to reduce the size of the
data to be stored or transmitted. In some scenarios, data compression may help to increase …
data to be stored or transmitted. In some scenarios, data compression may help to increase …
Methodological approach to data-centric cloudification of scientific iterative workflows
S Caíno-Lores, A Lapin, P Kropf, J Carretero - International Conference on …, 2016 - Springer
The computational complexity and the constantly increasing amount of input data for
scientific computing models is threatening their scalability. In addition, this is leading …
scientific computing models is threatening their scalability. In addition, this is leading …
[PDF][PDF] 1 Identification
D PETCU - 2014 - dev.doctorat.uvt.ro
2005 25. D. Petcu, C. Popa, A new version of Kovarik's approximate orthogonalization
algorithm without matrix inversion, International Journal of Computer Mathematics, vol. 82 …
algorithm without matrix inversion, International Journal of Computer Mathematics, vol. 82 …