Autors: Borovska, P. I., Ivanova, D. A.
Title: Code Optimization and Scaling of the Astrophysics Software Gadget on Intel Xeon Phi
Keywords: Gadget Software, Galaxy Data Set, Hybrid MPI/OpenMP Parallel

Abstract: The whitepaper reports our investigation into the porting, optimization and subsequent performance of the astrophysics software package GADGET, on the Intel Xeon Phi. The GADGET code is intended for cosmological N-body/SPH simulations to solve a wide range of astrophysical tasks. The test cases within the project were simulations of galaxy systems. A performance analysis of the code was carried out and porting, tuning and scaling of the GADGET code were completed. As a result, the hybrid MPI/OpenMP parallelization of the code has been enabled and scalability tests on the Intel Xeon Phi processors, on the PRACE EURORA system are reported.

References

    Issue

    PRACE - white paper, 2014, United States, Semantic Scholar, DOI https://zenodo.org/record/822648#.Ys0imzdBw2w, Corpus ID: 46665205

    Copyright PRACE – Partnership for Advanced Computing in Europe

    Цитирания (Citation/s):
    1. Mielikainen, J., Huang, B., & Huang, A. L. (2014). Intel Xeon Phi accelerated Weather Research and Forecasting (WRF) Goddard microphysics scheme. Geoscientific Model Development Discussions, 7(6), 8941-8973. - 2014 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    2. Mielikainen, J., Huang, B., & Huang, A. (2014, May). Optimizing weather and research forecast (WRF) Thompson cloud microphysics on Intel Many Integrated Core (MIC). In Satellite Data Compression, Communications, and Processing X (Vol. 9124, pp. 182-193). SPIE. - 2014 - в издания, индексирани в Scopus или Web of Science
    3. Mielikainen, J., Huang, B., & Huang, A. H. L. (2014, October). Optimizing zonal advection of the Advanced Research WRF (ARW) dynamics for Intel MIC. In High-Performance Computing in Remote Sensing IV (Vol. 9247, pp. 162-172). SPIE. - 2014 - в издания, индексирани в Scopus или Web of Science
    4. Mielikainen, J., Huang, B., & Huang, H. L. A. (2015). Optimizing total energy–mass flux (TEMF) planetary boundary layer scheme for Intel’s many integrated core (MIC) architecture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(8), 4106-4119. - 2015 - в издания, индексирани в Scopus или Web of Science
    5. Tiwari, A., Cauble‐Chantrenne, A., Jundt, A., Peraza, J., Löhner, R., Baum, J. D., & Carrington, L. (2018). Running large‐scale CFD applications on Intel‐KNL–based clusters. International Journal for Numerical Methods in Fluids, 86(11), 699-716. - 2018 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    6. Mielikainen, J., Huang, B., & Huang, A. (2014, May). Using Intel Xeon Phi to accelerate the WRF TEMF planetary boundary layer scheme. In Satellite Data Compression, Communications, and Processing X (Vol. 9124, pp. 209-218). SPIE. - 2014 - в издания, индексирани в Scopus или Web of Science
    7. Dykes, T., Gheller, C., Rivi, M., & Krokos, M. (2017). Splotch: porting and optimizing for the Xeon Phi. The International Journal of High Performance Computing Applications, 31(6), 550-563. - 2017 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    8. Mielikainen, J., Huang, B., & Huang, A. H. L. (2015, May). Optimizing the updated Goddard shortwave radiation weather research and forecasting (WRF) scheme for Intel many integrated core (MIC) architecture. In Satellite Data Compression, Communications, and Processing XI (Vol. 9501, pp. 116-125). SPIE. - 2015 - в издания, индексирани в Scopus или Web of Science
    9. Mielikainen, J., Huang, B., & Huang, A. H. L. (2014, October). Intel Many Integrated Core (MIC) architecture optimization strategies for a memory-bound Weather and Research Forecasting (WRF) Goddard microphysics scheme. In High-Performance Computing in Remote Sensing IV (Vol. 9247, pp. 18-26). SPIE. - 2014 - в издания, индексирани в Scopus или Web of Science
    10. Mielikainen, J., Huang, B., & Huang, A. H. L. (2014, October). Initial results on computational performance of Intel Many Integrated Core (MIC) architecture: implementation of the Weather and Research Forecasting (WRF) Purdue-Lin microphysics scheme. In High-Performance Computing in Remote Sensing IV (Vol. 9247, pp. 84-94). SPIE. - 2014 - в издания, индексирани в Scopus или Web of Science
    11. Mielikainen, J., Huang, B., & Huang, A. (2015, October). Revisiting Intel Xeon Phi optimization of Thompson cloud microphysics scheme in Weather Research and Forecasting (WRF) model. In High-Performance Computing in Remote Sensing V (Vol. 9646, pp. 31-44). SPIE. - 2015 - в издания, индексирани в Scopus или Web of Science
    12. Mielikainen, J., Huang, B., & Huang, A. H. L. (2015, October). Performance tuning Weather Research and Forecasting (WRF) Goddard longwave radiative transfer scheme on Intel Xeon Phi. In High-Performance Computing in Remote Sensing V (Vol. 9646, pp. 126-136). SPIE. - 2015 - в издания, индексирани в Scopus или Web of Science
    13. Wang, Q., Liu, J., Xie, P., Gong, C., Li, Y., & Xing, Z. (2015, November). Openmp-based monte carlo dose calculation for radiotherapy treatment planning on the intel mic architecture. In 2015 7th International Conference on Information Technology in Medicine and Education (ITME) (pp. 138-142). IEEE. - 2015 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    14. Pinto, V. G., Herbstrith, V. A., & Schnorr, L. M. (2015, October). Replicating the Performance Evaluation of an N-Body Application on a Manycore Accelerator. In 2015 International Symposium on Computer Architecture and High Performance Computing Workshop (SBAC-PADW) (pp. 19-24). IEEE. - 2015 - в издания, индексирани в Scopus или Web of Science
    15. Mielikainen, J., Huang, B., & Huang, A. H. L. (2015, May). Optimizing meridional advection of the Advanced Research WRF (ARW) dynamics for Intel Xeon Phi coprocessor. In Satellite Data Compression, Communications, and Processing XI (Vol. 9501, pp. 246-258). SPIE. - 2015 - в издания, индексирани в Scopus или Web of Science
    16. 李婵怡, 王武, 冯仰德, & 谢力. (2016). 基于异构平台的 BH 算法高效并行实现. 计算机应用研究, 33(8), 2255-2259. - 2016 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    17. Dykes, T. (2018). Harnessing Emerging Supercomputers for Remote and Interactive Visual Discovery in Astronomy (Doctoral dissertation, University of Portsmouth). - 2018 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    18. Ananta Tiwari, Allyson Cauble-Chantrenne, Adam Jundt, Joshua Peraza, Rainald Lohner, Joseph D. Baum, Laura Carrington, Running large-scale CFD applications on Intel-KNL-based clusters, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, Volume 86, Issue11, Page 699-716, 2018 - 2018 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум