Publications

2018

  • Otero, E., Vinuesa, R., Marin, O., Laure, E., & Schlatter, P. (2018). Lossy data compression effects on wall-bounded turbulence: bounds on data reduction. Flow, Turbulence and Combustion, 1-23. doi: https://doi.org/10.1007/s10494-018-9923-5 

  • Zauner, M., Jacobs, C. T., & Sandham, N. D. (2018). Grid refinement using spectral error indicators with application to airfoil DNS. In Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15 June 2018, Glasgow, UK. Link: http://congress.cimne.com/eccm_ecfd2018/admin/files/filePaper/p315.pdf 

  • Jammy, S. P., Jacobs, C. T., Lusher, D. J., & Sandham, N. D. (2018). Energy consumption of algorithms for solving the compressible Navier-Stokes equations on CPU's, GPU's and KNL's. In Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15 June 2018, Glasgow, UK. Link: http://congress.cimne.com/eccm_ecfd2018/admin/files/filePaper/p1912.pdf 

  • Cantwell, C. D., & Nielsen, A. S. (2018). A Minimally Intrusive Low-Memory Approach to Resilience for Existing Transient Solvers. Journal of Scientific Computing, 1-17. doi: https://doi.org/10.1007/s10915-018-0778-7

  • Eichstädt, J., Green, M., Turner, M., Peiró, J., & Moxey, D. (2018). Accelerating high-order mesh optimisation with an architecture-independent programming model. Computer Physics Communications, 229, 36-53. doi: 10.1016/j.cpc.2018.03.025

  • Jacobs, C. T., Zauner, M., De Tullio, N., Jammy, S. P., Lusher, D. J., & Sandham, N. D. (In Press). An error indicator for finite difference methods using spectral techniques with application to aerofoil simulation. Computers & Fluids. doi: https://doi.org/10.1016/j.compfluid.2018.03.065 

  • Lusher, D. J., Jammy, S. P., & Sandham, N. D. (In Press). Shock-wave/boundary-layer interactions in the automatic source-code generation framework OpenSBLI. Computers & Fluids. doi: https://doi.org/10.1016/j.compfluid.2018.03.081

  • Zauner, M., Jacobs, C. T., & Sandham, N. D. (2018). Grid refinement using spectral error indicators with application to airfoil DNS. In Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15 June 2018, Glasgow, UK. Link: http://congress.cimne.com/eccm_ecfd2018/admin/files/filePaper/p315.pdf

  • Jammy, S. P., Jacobs, C. T., Lusher, D. J., & Sandham, N. D. (2018). Energy consumption of algorithms for solving the compressible Navier-Stokes equations on CPU's, GPU's and KNL's. In Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), 11-15 June 2018, Glasgow, UK. Link: http://congress.cimne.com/eccm_ecfd2018/admin/files/filePaper/p1912.pdf

  • Eichstädt, J., Green, M., Turner, M., Peiró, J., & Moxey, D. (2018). Accelerating high-order mesh generation with an architecture-independent programming model. Computer Physics Communications. doi: https://doi.org/10.1016/j.cpc.2018.03.025

2017

  • Turner, M., Moxey, D., Peiró, J., Gammon, M., Pollard, C. R., & Bucklow, H. (2017). A framework for the generation of high-order curvilienar hybrid meshes for CFD simulations, in Procedia Engineering, 2017, 203, pp. 206–218. doi: 10.1016/j.proeng.2017.09.808

  • Turner, M., Peiró, J., & Moxey, D. (2017). Curvilinear mesh generation using a variational framework. Computer-Aided Design. doi: 10.1016/j.cad.2017.10.004

  • Offermans, N. (2017). Towards adaptive mesh refinement in Nek5000 (Doctoral dissertation, KTH Royal Institute of Technology). Download here.

  • Vymazal, M., Moxey, D., Cantwell, C., Sherwin, S., & Kirby, M. (2017). Towards combined cg-dg for elliptic problems. In SIAM 2017, 2017. Find abstract here.

  • Sandham, N. D., Johnstone, R., & Jacobs, C. T. (2017) Surface-sampled simulations of turbulent flow at high Reynolds number. International Journal for Numerical Methods in Fluids, Accepted. doi: http://dx.doi.org/10.1002/fld.4395

  • Jacobs, C. T., Jammy, S. P., & Sandham, N. D. (2017). OpenSBLI: A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures. Journal of Computational Science, 18:12-23, doi: http://doi.org/10.1016/j.jocs.2016.11.001

  • Jacobs, C., Sandham, N., & De Tullio, N. (2017). An error indicator for finite difference methods using spectral techniques with application to aerofoil simulation At 29th International Conference on Parallel Computational Fluid Dynamics, Glasgow, United Kingdom. 15 - 17 May 2017. 2 pp. Find ext. abstract here.

  • Jacobs, C. T., Jammy, S. P., Lusher, D. J., & Sandham, N. D. (2017). KNL Performance Comparison: OpenSBLI. ARCHER technical report.

  • Jammy, S. P., Jacobs, C. T., Lusher, D. J., & Sandham, N. D. (Submitted). Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors. Find Pre-print here

  • Turner, M., Peiró, J., & Moxey, D. (2017). Curvilinear mesh generation using a variational framework, Computer-Aided Design. doi: https://doi.org/10.1016/j.cad.2017.10.004

2016

  • Jammy, S. P., Jacobs, C. T., & Sandham, N. D. (2016). Performance evaluation of explicit finite difference algorithms with varying amounts of computational and memory intensity, J. Comput. Sci. (2016), http://dx.doi.org/10.1016/j.jocs.2016.10.015

  • Bareford, M., Johnson, N., & Weiland, M. On the trade-offs between energy to solution and runtime for real-world CFD test-cases. In Proceedings of the Exascale Applications and Software Conference 2016 (EASC '16). ACM, New York, NY, USA, Article 6, 8 pages. doi: http://dx.doi.org/10.1145/2938615.2938619

  • Moxey, D., Cantwell, C. D., Mengaldo, G., Serson, D., Ekelschot, D., Peiró, J., Sherwin, S. J., & Kirby, R. M. Towards p-adaptive spectral/hp element methods for modelling industrial flows, International Conference on Spectral and High-Order Methods, 2016. Find abstract here.

  • Sherwin, S., Lombard,  J.-E., Moxey, D., Moura, J. P. R., & Mengaldo, G. Implicit les spectral/hp element modelling of flow past complex geometries related to formula 1, International Conference on Spectral and High-Order Methods, 2016. Find abstract here.

  • Nielsen, A. S., & Hesthaven, J. S. (2016). Fault Tolerance in the Parareal Method. Proceedings of the Fault Tolerance for HPC at eXtreme Scale Workshop at the 25th ACM Symposium on High-Performance Parallel and Distributed Computing. doi: 10.1145/2909428.2909431

  • Offermans, N., Marin, O., Schanen, M., Gong, J., Fischer, P., & Schlatter, P. On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems. In Proceedings of the Exascale Applications and Software Conference 2016. doi: https://doi.org/10.1145/2938615.2938617 

  • Peplinski, A., Fischer, P. F., & Schlatter, P. (2016, April). Parallel performance of h-type Adaptive Mesh Refinement for Nek5000. In Proceedings of the Exascale Applications and Software Conference 2016 (p. 4). doi: 10.1145/2938615.2938620

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