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We are also facing similar tasks to improve the efficiency of the VANET simulation
environments we are using in order to validate our mathematical analyses.
Acknowledgements. This research has been supported by the MICINN/FEDER project
grant TEC2010-21405-C02-02/TCM (CALM) and Fundacion Seneca RM grant 00002/
CS/08 FORMA. It is also developed in the framework of “Programa de Ayudas a
Grupos de Excelencia de la Region de Murcia, de la Fundacion Seneca, Agencia de
Ciencia y Tecnologıa de la RM”. J. Garcıa-Haro acknowledges personal grant PR2009-
0337 (MICINN/SEU/DGU Programa Nacional de Movilidad de Recursos Humanos
de Investigaci on). J. B. Tomas-Gabarr on thanks the Spanish MICINN for a FPU (REF
AP2008-02244) pre-doctoral fellowship. C. Garcıa-Costa acknowledges the Fundacion
Seneca for a FPI (REF 12347/FPI/09) pre-doctoral fellowship. We also want to express
our gratitude to Rocıo Murcia-Hernandez for her programming assistance.
References
1. Tomas-Gabarron, J.B., Egea-Lopez, E., Garcia-Haro, J., Murcia-Hernandez, R.: Performance
evaluation of a CCA application for VANETs using IEEE 802.11p. In: IEEE International
Conference on Communications Workshops (ICC), pp. 1-5 (2010)
2. The official webpage of the Scientific Park of Murcia, http://www.cesmu.es
3. Murcia-Hernandez, R., Garcia-Costa, C., Tomas-Gabarronm, J.B., Egea-Lopez, E., Garcia-
Haro, J.: Parallelization of a mathematical model to evaluate a CCA application for VANETs.
In: 1st International Conference on Simulation and Modeling Methodologies, Technologies
and Applications (SIMULTECH), The Netherlands (2011)
4. Barney, B.: Introduction to Parallel Computing. Lawrence Livermore National Laboratory,
USA (2011), https://computing.llnl.gov/tutorials/parallel_comp/
5. Liu, S., Zhang, Y., Sun, X., Qiu, R.: Performance Evaluation of Multithreaded Sparse Matrix-
Vector Multiplication using OpenMP. In: IEEE International Conference on High Perfor-
mance Computing and Communications, pp. 659-665 (2009)
6. Kotakemori, H., Hasegawa, H., Kajiyama, T., Nukada, A., Suda, R., Nishida, A.: Perfor-
mance Evaluation of Parallel Sparse Matrix-Vector Products on SGI Altix3700. In: Mueller,
M.S., Chapman, B.M., de Supinski, B.R., Malony, A.D., Voss, M. (eds.) IWOMP 2005 and
IWOMP 2006. LNCS, vol. 4315, pp. 153-163. Springer, Heidelberg (2008)
7. Goumas, G., Kourtis, K., Anastopoulos, N., Karakasis, V., Koziris, N.: Performance eval-
uation of the sparse matrix-vector multiplication on modern architectures. The Journal of
Supercomputing 50(1), 36-77 (2009)
8. Williams, S., Olikera, L., Vuducc, R., Shalfa, J., Yelicka, K., Demmel, J.: Optimization
of sparse matrix-vector multiplication on emerging multicore platforms. Parallel Comput-
ing 35(3), 178-194 (2009)
9. Ning, Z., Jung, Y., Jin, Y., Kim, K.: Route Optimization for GPSR in VANET. In: IEEE
International Advance Computing Conference, pp. 569-573 (2009)
10. Wisitpongphan, N., Bai, F., Mudalige, P., Tonguz, O.K.: On the Routing Problem in Discon-
nected Vehicular Ad-hoc Networks. In: IEEE International Conference on Computer Com-
munications, pp. 2291-2295 (2007)
11. Du, S., Liu, F.Q., Xu, S.Z., Wang, X.H.: On-demand power control algorithm based on vehi-
cle ad hoc network. Jisuanji Gongcheng/ Computer Engineering 35(16), 97-100 (2009)
12. Fasolo, E., Zanella, A., Zorzi, M.: An effective broadcast scheme for alert message propaga-
tion in vehicular ad hoc networks. In: IEEE International Conference on Communications,
pp. 3960-3965 (2006)
 
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