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Publications
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Below is a list of publications based on or mentioning the 2DECOMP&FFT library
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-Doukkali, H., Abide, S., Lhassane Lahlaouti, M., & Khamlichi, A. (2018). Large Eddy Simulation of turbulent natural convection in an inclined tall cavity. Numerical Heat Transfer, Part A: Applications, 74(4), 1175-1189.
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-Khokhriakov, S., Manumachu, R. R., & Lastovetsky, A. (2018, December). Performance optimization of multithreaded 2d FFT on multicore processors: Challenges and solution approaches. In 2018 IEEE 25th International Conference on High Performance Computing Workshops (HiPCW) (pp. 8-17). IEEE.
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-Bauweraerts, P., & Meyers, J. (2018, June). Towards an adjoint based 4D-Var state estimation for turbulent flow. In Journal of Physics: Conference Series (Vol. 1037, No. 7, p. 072055). IOP Publishing.
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-Khokhriakov, S., Manumachu, R. R., & Lastovetsky, A. (2018). Performance optimization of multithreaded 2d fast fourier transform on multicore processors using load imbalancing parallel computing method. IEEE Access, 6, 64202-64224.
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-Abide, S., Viazzo, S., Raspo, I., & Randriamampianina, A. (2018). Higher-order compact scheme for high-performance computing of stratified rotating flows. Computers & Fluids, 174, 300-310.
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-Mathias, M. S., & Medeiros, M. (2018). Direct numerical simulation of a compressible flow and matrix-free analysis of its instabilities over an open cavity. Journal of Aerospace Technology and Management, 10.
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-Margairaz, F., Giometto, M. G., Parlange, M. B., & Calaf, M. (2018). Comparison of dealiasing schemes in large-eddy simulation of neutrally stratified atmospheric flows. Geoscientific Model Development, 11(10), 4069-4084.
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-Roytershteyn, V., & Delzanno, G. L. (2018). Spectral approach to plasma kinetic simulations based on Hermite decomposition in the velocity space. Frontiers in Astronomy and Space Sciences, 5, 27.
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-Flajslik, M., Borch, E., & Parker, M. A. (2018). Megafly: A topology for exascale systems. In High Performance Computing: 33rd International Conference, ISC High Performance 2018, Frankfurt, Germany, June 24-28, 2018, Proceedings 33 (pp. 289-310). Springer International Publishing.
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-Costa, P. (2018). A FFT-based finite-difference solver for massively-parallel direct numerical simulations of turbulent flows. Computers & Mathematics with Applications, 76(8), 1853-1862.
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-Zhu, X., Phillips, E., Spandan, V., Donners, J., Ruetsch, G., Romero, J., ... & Stevens, R. J. (2018). AFiD-GPU: a versatile Navier–Stokes solver for wall-bounded turbulent flows on GPU clusters. Computer physics communications, 229, 199-210.
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-Costantini, R., Mollicone, J. P., & Battista, F. (2018). Drag reduction induced by superhydrophobic surfaces in turbulent pipe flow. Physics of Fluids, 30(2), 025102.
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-Valente, A., & Marchetti, E. (2017, July). From cards to digital games: closing the loop. In 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) (pp. 507-510). IEEE.
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-Boschung, J., Hennig, F., Denker, D., Pitsch, H., & Hill, R. J. (2017). Analysis of structure function equations up to the seventh order. Journal of Turbulence, 18(11), 1001-1032.
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-Göbbert, J. H., Iliev, H., Ansorge, C., & Pitsch, H. (2017). Overlapping of communication and computation in nb3dfft for 3d fast fourier transformations. In High-Performance Scientific Computing: First JARA-HPC Symposium, JHPCS 2016, Aachen, Germany, October 4–5, 2016, Revised Selected Papers 1 (pp. 151-159). Springer International Publishing.
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-Abide, S., Binous, M. S., & Zeghmati, B. (2017). An efficient parallel high-order compact scheme for the 3D incompressible Navier–Stokes equations. International Journal of Computational Fluid Dynamics, 31(4-5), 214-229.
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-Alizad Banaei, A., Loiseau, J. C., Lashgari, I., & Brandt, L. (2017). Numerical simulations of elastic capsules with nucleus in shear flow. European Journal of Computational Mechanics, 26(1-2), 131-153.
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-Scholtissek, A., Dietzsch, F., Gauding, M., & Hasse, C. (2017). In-situ tracking of mixture fraction gradient trajectories and unsteady flamelet analysis in turbulent non-premixed combustion. Combustion and Flame, 175, 243-258.
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-Munters, W., & Meyers, J. (2017). An optimal control framework for dynamic induction control of wind farms and their interaction with the atmospheric boundary layer. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375(2091), 20160100.
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-Jiang, Y., & Chen, J. Z. (2016). Theories for Polymer Melts Consisting of Rod–Coil Polymers. Self‐Assembling Systems: Theory and Simulation, 230-253.
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-Duy, T. V. T., & Ozaki, T. (2016). Hybrid and 4-D FFT implementations of an open-source parallel FFT package OpenFFT. The Journal of Supercomputing, 72, 391-416.
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-Boschung, J., Hennig, F., Gauding, M., Pitsch, H., & Peters, N. (2016). Generalised higher-order Kolmogorov scales. Journal of Fluid Mechanics, 794, 233-251.
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-Song, S., & Hollingsworth, J. K. (2016). Computation–communication overlap and parameter auto-tuning for scalable parallel 3-D FFT. Journal of computational science, 14, 38-50.
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-He, P. (2016). A high order finite difference solver for massively parallel simulations of stably stratified turbulent channel flows. Computers & Fluids, 127, 161-173.
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-Jung, J., Kobayashi, C., Imamura, T., & Sugita, Y. (2016). Parallel implementation of 3D FFT with volumetric decomposition schemes for efficient molecular dynamics simulations. Computer Physics Communications, 200, 57-65.
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-Motheau, E., & Abraham, J. (2016). A high-order numerical algorithm for DNS of low-Mach-number reactive flows with detailed chemistry and quasi-spectral accuracy. Journal of Computational Physics, 313, 430-454.
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-Nemati, H., Patel, A., Boersma, B. J., & Pecnik, R. (2016). The effect of thermal boundary conditions on forced convection heat transfer to fluids at supercritical pressure. Journal of Fluid Mechanics, 800, 531-556.
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-Mortensen, M., & Langtangen, H. P. (2016). High performance Python for direct numerical simulations of turbulent flows. Computer Physics Communications, 203, 53-65.
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-Gholami, A., Malhotra, D., Sundar, H., & Biros, G. (2016). FFT, FMM, or multigrid? A comparative study of state-of-the-art Poisson solvers for uniform and nonuniform grids in the unit cube. SIAM Journal on Scientific Computing, 38(3), C280-C306.
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-Abdelsamie, A., Fru, G., Oster, T., Dietzsch, F., Janiga, G., & Thévenin, D. (2016). Towards direct numerical simulations of low-Mach number turbulent reacting and two-phase flows using immersed boundaries. Computers & Fluids, 131, 123-141.
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-Boschung, J. (2015). Exact relations between the moments of dissipation and longitudinal velocity derivatives in turbulent flows. Physical Review E, 92(4), 043013.
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-Ng, J., Wang, X., Singh, A. K., & Mak, T. (2015, March). Defrag: Defragmentation for efficient runtime resource allocation in noc-based many-core systems. In 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (pp. 345-352). IEEE.
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-Lirkov, I., Paprzycki, M., Ganzha, M., Sedukhin, S., & Gepner, P. (2014, September). Performance analysis of a scalable algorithm for 3D linear transforms. In 2014 Federated Conference on Computer Science and Information Systems (pp. 613-622). IEEE.
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-García‐Risueño, P., Alberdi‐Rodriguez, J., Oliveira, M. J., Andrade, X., Pippig, M., Muguerza, J., ... & Rubio, A. (2014). A survey of the parallel performance and accuracy of Poisson solvers for electronic structure calculations. Journal of computational chemistry, 35(6), 427-444.
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-Gautier, R., Laizet, S., & Lamballais, E. (2014). A DNS study of jet control with microjets using an immersed boundary method. International Journal of Computational Fluid Dynamics, 28(6-10), 393-410.
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-Wei, F., & Yılmaz, A. E. (2013). A more scalable and efficient parallelization of the adaptive integral method—Part I: Algorithm. IEEE Transactions on Antennas and Propagation, 62(2), 714-726.
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-Pippig, M., & Potts, D. (2013). Parallel three-dimensional nonequispaced fast Fourier transforms and their application to particle simulation. SIAM Journal on Scientific Computing, 35(4), C411-C437.
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-Pippig, M. (2013). PFFT: An extension of FFTW to massively parallel architectures. SIAM Journal on Scientific Computing, 35(3), C213-C236.
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-Orozco, D., Garcia, E., Pavel, R., Ayala, O., Wang, L. P., & Gao, G. (2012). Demystifying Performance Predictions of Distributed FFT3D Implementations. In Network and Parallel Computing: 9th IFIP International Conference, NPC 2012, Gwangju, Korea, September 6-8, 2012. Proceedings 9 (pp. 196-207). Springer Berlin Heidelberg.
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-Kriksin, Y. A., & Khalatur, P. G. (2012). Parallel algorithm for 3D SCF simulation of copolymers with flexible and rigid blocks. Macromolecular theory and simulations, 21(6), 382-399.
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-Laizet, S., & Li, N. (2011). Incompact3d: A powerful tool to tackle turbulence problems with up to O (10^5) computational cores. International Journal for Numerical Methods in Fluids, 67(11), 1735-1757.

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