publication . Article . Other literature type . 2017

GNAQPMS v1.1: accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) on Intel Xeon Phi processors

H. Wang; H. Wang; H. Wang; H. Wang; H. Chen; H. Chen; Q. Wu; Q. Wu; J. Lin; X. Chen; ...
Open Access English
  • Published: 01 Aug 2017 Journal: Geoscientific Model Development (issn: 1991-959X, eissn: 1991-9603, Copyright policy)
  • Publisher: Copernicus Publications
Abstract
<jats:p>Abstract. The Global Nested Air Quality Prediction Modeling System (GNAQPMS) is the global version of the Nested Air Quality Prediction Modeling System (NAQPMS), which is a multi-scale chemical transport model used for air quality forecast and atmospheric environmental research. In this study, we present the porting and optimisation of GNAQPMS on a second-generation Intel Xeon Phi processor, codenamed Knights Landing (KNL). Compared with the first-generation Xeon Phi coprocessor (codenamed Knights Corner, KNC), KNL has many new hardware features such as a bootable processor, high-performance in-package memory and ISA compatibility with Intel Xeon process...
Subjects
free text keywords: Geology, QE1-996.5, Parallel computing, Coprocessor, Computer science, Scalability, Central processing unit, Cache, Xeon Phi, Vector processor, Xeon, Message Passing Interface
Related Organizations
32 references, page 1 of 3

Chang, J. S., Brost, R. A., Isaksen, I. S. A., Madronich, S., Middleton, P., Stockwell, W. R., and Walcek, C. J.: A threedimensional Eulerian acid deposition model: Physical concepts and formulation, J. Geophys. Res.-Atmos., 92, 14681-14700, https://doi.org/10.1029/JD092Id12p14681, 1987. [OpenAIRE]

Chen, H. S., Wang, Z. F., Li, J., Tang, X., Ge, B. Z., Wu, X. L., Wild, O., and Carmichael, G. R.: GNAQPMS-Hg v1.0, a global nested atmospheric mercury transport model: model description, evaluation and application to trans-boundary transport of Chinese anthropogenic emissions, Geosci. Model Dev., 8, 2857-2876, https://doi.org/10.5194/gmd-8-2857-2015, 2015.

Chrysos, G.: Intel® Xeon Phi coprocessor (codename Knights Corner), 2012 IEEE Hot Chips 24 Symposium (HCS), 27-29 August 2012, Cupertino, CA, USA, 1-31, 2012. [OpenAIRE]

Feng, F., Wang, Z., Li, J., and Carmichael, G. R.: A nonnegativity preserved efficient algorithm for atmospheric chemical kinetic equations, Appl. Math. Comput., 271, 519-531, https://doi.org/10.1016/j.amc.2015.09.033, 2015.

Ge, B. Z., Wang, Z. F., Xu, X. B., Wu, J. B., Yu, X. L., and Li, J.: Wet deposition of acidifying substances in different regions of China and the rest of East Asia: Modeling with updated NAQPMS, Environ. Pollut., 187, 10-21, https://doi.org/10.1016/j.envpol.2013.12.014, 2014.

Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within the WRF model, Atmos. Environ., 39, 6957-6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.

Khain, A., Lang, S., Lynn, B., and Shie, C. L.: Microphysics, radiation and surface processes in the Goddard Cumulus Ensemble (GCE) model, Meteorol. Atmos. Phys., 82, 97-137, https://doi.org/10.1007/s00703-001-0594-7, 2003.

Li, J., Wang, Z., Akimoto, H., Gao, C., Pochanart, P., and Wang, X.: Modeling study of ozone seasonal cycle in lower troposphere over east Asia, J. Geophys. Res.-Atmos., 112, D22S25, https://doi.org/10.1029/2006jd008209, 2007.

Li, J., Wang, Z., Wang, X., Yamaji, K., Takigawa, M., Kanaya, Y., Pochanart, P., Liu, Y., Irie, H., Hu, B., Tanimoto, H., and Akimoto, H.: Impacts of aerosols on summertime tropospheric photolysis frequencies and photochemistry over Central Eastern China, Atmos. Environ., 45, 1817-1829, https://doi.org/10.1016/j.atmosenv.2011.01.016, 2011.

Li, J., Wang, Z., Zhuang, G., Luo, G., Sun, Y., and Wang, Q.: Mixing of Asian mineral dust with anthropogenic pollutants over East Asia: a model case study of a superduststorm in March 2010, Atmos. Chem. Phys., 12, 7591-7607, https://doi.org/10.5194/acp-12-7591-2012, 2012.

Linford, J. C., Michalakes, J., Vachharajani, M., and Sandu, A.: Multi-core acceleration of chemical kinetics for simulation and prediction, in: Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis/ACM, 14- 20 November 2009, Portland, Oregon, USA, 1-11, 2009.

Meadows, L.: Experiments with WRF on Intel® Many Integrated Core (Intel MIC) Architecture, in: 8th International Workshop on OpenMP/Openmp in A Heterogeneous World, 11-13 June 2012, Rome, Italy, 130-139, 2012.

Mielikainen, J., Huang, B., and Huang, A. H.-L.: Intel Xeon Phi accelerated Weather Research and Forecasting (WRF) Goddard microphysics scheme, Geosci. Model Dev. Discuss., 7, 8941-8973, https://doi.org/10.5194/gmdd-7-8941-2014, 2014a.

Mielikainen, J., Huang, B., and Huang, A. H. L.: Optimizing zonal advection of the Advanced Research WRF (ARW) dynamics for Intel MIC, SPIE Remote Sensing, International Society for Optics and Photonics, 22 September 2014, Amsterdam, the Netherlands, 92470M, 2014b. [OpenAIRE]

Mielikainen, J., Huang, B., and Huang, A. H. L.: Optimizing Weather and Research Forecast (WRF) Thompson cloud microphysics on Intel Many Integrated Core (MIC), SPIE Remote Sensing, International Society for Optics and Photonics, 5 May 2014, Maryland, USA, 91240Q, 2014c. [OpenAIRE]

32 references, page 1 of 3
Abstract
<jats:p>Abstract. The Global Nested Air Quality Prediction Modeling System (GNAQPMS) is the global version of the Nested Air Quality Prediction Modeling System (NAQPMS), which is a multi-scale chemical transport model used for air quality forecast and atmospheric environmental research. In this study, we present the porting and optimisation of GNAQPMS on a second-generation Intel Xeon Phi processor, codenamed Knights Landing (KNL). Compared with the first-generation Xeon Phi coprocessor (codenamed Knights Corner, KNC), KNL has many new hardware features such as a bootable processor, high-performance in-package memory and ISA compatibility with Intel Xeon process...
Subjects
free text keywords: Geology, QE1-996.5, Parallel computing, Coprocessor, Computer science, Scalability, Central processing unit, Cache, Xeon Phi, Vector processor, Xeon, Message Passing Interface
Related Organizations
32 references, page 1 of 3

Chang, J. S., Brost, R. A., Isaksen, I. S. A., Madronich, S., Middleton, P., Stockwell, W. R., and Walcek, C. J.: A threedimensional Eulerian acid deposition model: Physical concepts and formulation, J. Geophys. Res.-Atmos., 92, 14681-14700, https://doi.org/10.1029/JD092Id12p14681, 1987. [OpenAIRE]

Chen, H. S., Wang, Z. F., Li, J., Tang, X., Ge, B. Z., Wu, X. L., Wild, O., and Carmichael, G. R.: GNAQPMS-Hg v1.0, a global nested atmospheric mercury transport model: model description, evaluation and application to trans-boundary transport of Chinese anthropogenic emissions, Geosci. Model Dev., 8, 2857-2876, https://doi.org/10.5194/gmd-8-2857-2015, 2015.

Chrysos, G.: Intel® Xeon Phi coprocessor (codename Knights Corner), 2012 IEEE Hot Chips 24 Symposium (HCS), 27-29 August 2012, Cupertino, CA, USA, 1-31, 2012. [OpenAIRE]

Feng, F., Wang, Z., Li, J., and Carmichael, G. R.: A nonnegativity preserved efficient algorithm for atmospheric chemical kinetic equations, Appl. Math. Comput., 271, 519-531, https://doi.org/10.1016/j.amc.2015.09.033, 2015.

Ge, B. Z., Wang, Z. F., Xu, X. B., Wu, J. B., Yu, X. L., and Li, J.: Wet deposition of acidifying substances in different regions of China and the rest of East Asia: Modeling with updated NAQPMS, Environ. Pollut., 187, 10-21, https://doi.org/10.1016/j.envpol.2013.12.014, 2014.

Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within the WRF model, Atmos. Environ., 39, 6957-6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.

Khain, A., Lang, S., Lynn, B., and Shie, C. L.: Microphysics, radiation and surface processes in the Goddard Cumulus Ensemble (GCE) model, Meteorol. Atmos. Phys., 82, 97-137, https://doi.org/10.1007/s00703-001-0594-7, 2003.

Li, J., Wang, Z., Akimoto, H., Gao, C., Pochanart, P., and Wang, X.: Modeling study of ozone seasonal cycle in lower troposphere over east Asia, J. Geophys. Res.-Atmos., 112, D22S25, https://doi.org/10.1029/2006jd008209, 2007.

Li, J., Wang, Z., Wang, X., Yamaji, K., Takigawa, M., Kanaya, Y., Pochanart, P., Liu, Y., Irie, H., Hu, B., Tanimoto, H., and Akimoto, H.: Impacts of aerosols on summertime tropospheric photolysis frequencies and photochemistry over Central Eastern China, Atmos. Environ., 45, 1817-1829, https://doi.org/10.1016/j.atmosenv.2011.01.016, 2011.

Li, J., Wang, Z., Zhuang, G., Luo, G., Sun, Y., and Wang, Q.: Mixing of Asian mineral dust with anthropogenic pollutants over East Asia: a model case study of a superduststorm in March 2010, Atmos. Chem. Phys., 12, 7591-7607, https://doi.org/10.5194/acp-12-7591-2012, 2012.

Linford, J. C., Michalakes, J., Vachharajani, M., and Sandu, A.: Multi-core acceleration of chemical kinetics for simulation and prediction, in: Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis/ACM, 14- 20 November 2009, Portland, Oregon, USA, 1-11, 2009.

Meadows, L.: Experiments with WRF on Intel® Many Integrated Core (Intel MIC) Architecture, in: 8th International Workshop on OpenMP/Openmp in A Heterogeneous World, 11-13 June 2012, Rome, Italy, 130-139, 2012.

Mielikainen, J., Huang, B., and Huang, A. H.-L.: Intel Xeon Phi accelerated Weather Research and Forecasting (WRF) Goddard microphysics scheme, Geosci. Model Dev. Discuss., 7, 8941-8973, https://doi.org/10.5194/gmdd-7-8941-2014, 2014a.

Mielikainen, J., Huang, B., and Huang, A. H. L.: Optimizing zonal advection of the Advanced Research WRF (ARW) dynamics for Intel MIC, SPIE Remote Sensing, International Society for Optics and Photonics, 22 September 2014, Amsterdam, the Netherlands, 92470M, 2014b. [OpenAIRE]

Mielikainen, J., Huang, B., and Huang, A. H. L.: Optimizing Weather and Research Forecast (WRF) Thompson cloud microphysics on Intel Many Integrated Core (MIC), SPIE Remote Sensing, International Society for Optics and Photonics, 5 May 2014, Maryland, USA, 91240Q, 2014c. [OpenAIRE]

32 references, page 1 of 3
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Article . Other literature type . 2017

GNAQPMS v1.1: accelerating the Global Nested Air Quality Prediction Modeling System (GNAQPMS) on Intel Xeon Phi processors

H. Wang; H. Wang; H. Wang; H. Wang; H. Chen; H. Chen; Q. Wu; Q. Wu; J. Lin; X. Chen; ...