References

CPU-GPU ACCELERATION OF THE AIR POLLUTION FORECAST SYSTEM WITH AN EFFICIENT PARALLEL CHEMICAL SOLVER


[1] H. S. Chen, Z. F. Wang, Q. Z. Wu, J. B. Wu, P. Z. Yan, X. Tang and Z. Wang, Application of air quality multi-model forecast system in Guangzhou: Model description and evaluation of PM10 forecast performance, Climatic and Environmental Research 18(4) (2013), 427-435 (in Chinese).
DOI: https://doi.org/10.3878/j.issn.1006-9585.2012.11207

[2] F. Feng, Z. F. Wang, J. Li and G. R. Carmichael, A nonnegativity preserved efficient algorithm for atmospheric chemical kinetic equations, Applied Mathematics and Computation 271 (2015), 519-531.
DOI: https://doi.org/10.1016/j.amc.2015.09.033

[3] F. Feng, X. B. Chi, Z. F. Wang, J. Li, J. R. Jiang and W. Y. Yang, A nonnegativity preserved efficient chemical solver applied to the air pollution forecast, Applied Mathematics and Computation 314 (2017), 44-57.
DOI: https://doi.org/10.1016/j.amc.2017.06.008

[4] A. C. Hindmarsh, LSODE and LSODI, two new initial value ordinary differential equation solvers, ACM-SIGNUM Newsletter 15(4) (1980), 10-11.
DOI: https://doi.org/10.1145/1218052.1218054

[5] L. W. Horowitz, S. Walters, D. L. Mauzerall, L. K. Emmons, P. J. Rasch, C. Granier, X. Tie, J. F. Lamarque, M. G. Schultz, G. S. Tyndall, J. J. Orlando and G. P. Brasseur, A global simulation of tropospheric ozone and related tracers: Description and evaluation of MOZART: Version 2, Journal of Geophysical Research: Atmospheres 108(D24) (2003), 4784.
DOI: https://doi.org/10.1029/2002JD002853

[6] Y. L. Hou, X. N. Cheng and T. S. Ikenaga, Real-time 3D ball tracking with CPU-GPU acceleration using particle filter with multi-command queues and stepped parallelism iteration, 2nd International Conference on Multimedia and Image Processing (ICMIP) (2017), 235-239.
DOI: https://doi.org/10.1109/ICMIP.2017.59

[7] M. R. Houyoux and J. M. Vukovich, Updates to the Sparse Matrix Operator Kernel Emissions (SMOKE) Modeling System and Integration with Models-3, presented at The Emission Inventory: Regional Strategies for the Future Conference, Air and Waste Management Association, Raleigh, N. C. (1999), 1461.

[8] M. C. Lau and R. Srinivasan, A hybrid CPU-Graphics Processing Unit (GPU) approach for computationally efficient simulation-optimization, Computers & Chemical Engineering 87 (2016), 49-62.
DOI: https://doi.org/10.1016/j.compchemeng.2016.01.001

[9] P. L. Li, Y. Luo, N. Zhang and Yu Cao, HeteroSpark: A heterogeneous CPU/GPU spark platform for machine learning algorithms, IEEE International Conference on Networking, Architecture and Storage (NAS) (2015), 347-350.
DOI: https://doi.org/10.1109/NAS.2015.7255222

[10] P. L. Li and Y. Luo, P4GPU: Acceleration of programmable data plane using a CPU-GPU heterogeneous architecture, 17th IEEE International Conference on High Performance Switching and Routing (HPSR) (2016), 168-175.
DOI: https://doi.org/10.1109/HPSR.2016.7525662

[11] A. D. Ma and C. G. Guo, Parallel acceleration of HEVC decoder based on CPU+ GPU heterogeneous platform, 7th International Conference on Information Science and Technology (ICIST) (2017), 323-330.
DOI: https://doi.org/10.1109/ICIST.2017.7926778

[12] X. Tang, J. Zhu, Z. F. Wang, M. Wang, A. Gbaguidi, J. Li, M. Shao, G. Q. Tang and D. S. Ji, Inversion of CO emissions over Beijing and its surrounding areas with ensemble Kalman filter, Atmospheric Environment 81 (2013) 676-686.
DOI: https://doi.org/10.1016/j.atmosenv.2013.08.051

[13] O. Valery, P. F. Liu and J. J. Wu, A collaborative CPU-GPU approach for principal component analysis on mobile heterogeneous platforms, Journal of Parallel and Distributed Computing 120 (2018), 44-61.
DOI: https://doi.org/10.1016/j.jpdc.2018.05.006

[14] Y. Z. Wang, J. R. Jiang, H. Zhang, X. Dong, L. Z. Wang, R. Ranjan and A. Y. Zomaya, A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster, Future Generation Computer Systems 72 (2017), 1-10.
DOI: https://doi.org/10.1016/j.future.2017.02.008

[15] Z. F. Wang, F. Y. Xie, X. Q. Wang, J. L. An and J. Zhu, Development and application of nested air quality prediction modeling system, Chinese Journal of Atmospheric Sciences 30 (2006), 778-790 (in Chinese).

[16] Q. Z. Wu, Z. F. Wang, A.Gbaguidi, C. Gao, L. N. Li and W. Wang, A numerical study of contributions to air pollution in Beijing during CARE Beijing-2006, Atmospheric Chemistry and Physics 11(12) (2011), 5997-6011.
DOI: https://doi.org/10.5194/acp-11-5997-2011

[17] R. A. Zaveri and L. K. Peters, A new lumped structure photochemical mechanism for large-scale applications, Journal of Geophysical Research: Atmospheres 104(D23) (1999), 30387-30415.
DOI: https://doi.org/10.1029/1999JD900876

[18] Q. Zhang, D. G. Streets, G. R. Carmichael, K. B. He, H. Huo, A. Kannari, Z. Klimont, I. S. Park, S. Reddy, J. S. Fu, D. Chen, L. Duan, Y. Lei, L. T. Wang and Z. L. Yao, Asian emissions in 2006 for the NASA INTEX-B mission, Atmospheric Chemistry and Physics 9(14) (2009), 5131-5153.
DOI: https://doi.org/10.5194/acp-9-5131-2009