Publications and Outreach


CEED Documents


Publications

2017

  1. K. Raffenetti et. al, P. Fischer, M. Min, and P. Balaji, Why is MPI so slow? Analysing the fundamental limits in implementing MPI-3.1, accepted, SC'17, 2017
  2. V. Dobrev, Tz. Kolev, D. Kuzmin, R. Rieben and V. Tomov, Sequential limiting in continuous and discontinuous Galerkin methods for the Euler equations, submitted, 2017
  3. A. Abdelfattah, A. Haidar, S. Tomov, J. Dongarra, Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures, Proceedings of the 2017 International Conference on Computational Science, ICCS'17, Zürich, Switzerland, June 12-14, Procedia Computer Science, 2017.
  4. A. Abdelfattah, M. Baboulin, V. Dobrev, J. Dongarra, A. Haidar, I. Karlin, Tz. Kolev, I. Masliah, and S. Tomov, Small Tensor Operations on Advanced Architectures for High-order Applications, Technical report UT-EECS-17-749, EECS Department, University of Tennessee, 2017.
  5. R. Anderson, V. Dobrev, Tz. Kolev, D. Kuzmin, M. Quezada de Luna, R. Rieben and V. Tomov, High-order local maximum principle preserving (MPP) discontinuous Galerkin finite element method for the transport equation, Journal of Computational Physics, 334:102–124, 2017
  6. Bazilevs, Y., Kamran, K., Moutsanidis, G., Benson, D. J., & Oñate, E, A new formulation for air-blast fluid–structure interaction using an immersed approach. Part I: basic methodology and FEM-based simulations, Computational Mechanics, 1-18, 2017.


2016

  1. V. Dobrev, Tz. Kolev, R. Rieben and V. Tomov, Multi-material closure model for high-order finite element Lagrangian hydrodynamics, Int. J. Numer. Meth. Fluids, 82(10), pp. 689–706, 2016
  2. A. Abdelfattah, M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, Tz. Kolev, I. Masliah, S. Tomov, High-performance Tensor Contractions for GPUs, Procedia Computer Science, Volume 80, Pages 108-118, ISSN 1877-0509, 2016.
  3. M. B.E., Y. Peet, P. Fischer, and J. Lottes, A spectrally accurate method for overlapping grid solution of incompressible Navier-Stokes equations, J. Comp. Phys., 307:60–93, 2016.
  4. M. Otten, J. Gong, A. Mametjanov, A. Vose, J. Levesque, P. Fischer, and M. Min, An MPI/OpenACC implementation of a high order electromagnetics solver with GPUDirect communication, The International Journal of High Performance Computing Application, 30(3):320–334, 2016.
  5. J. Gong, S. Markidis, E. Laure, M. Otten, P. Fischer, M. Min, Nekbone Performance on GPUs with OpenACC and CUDA Fortran Implementations, Special issue on Sustainability on Ultrascale Computing Systems and Applications: Journal of Supercomputing, 2016.
  6. Ibanez, Daniel A., et al. PUMI: Parallel unstructured mesh infrastructure. ACM Transactions on Mathematical Software (TOMS) 42.3 2016.
  7. Smith, Cameron W., et al. In-memory Integration of Existing Software Components for Parallel Adaptive Unstructured Mesh Workflows. Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale. ACM, 2016.


2015 and earlier

  1. P. Fischer, K. Heisey, and M. Min, Scaling limits for PDE-based simulation, In 22nd AIAA Computational Fluid Dynamics Conference, AIAA Aviation, AIAA 2015-3049, 2015.
  2. A. Kraus, S. Aithal, A. Obabko, E. Merzari, A. Tomboulides, and P. Fischer, Erosion of a large-scale gaseous stratified layer by a turbulent jet - Simulations with URANS and LES approaches, volume 2, pp. 1448–1461. American Nuclear Society, 2015.
  3. E. Merzari, P. Fischer, and J. Walker, Large-scale simulation of rod bundles: Coherent structure recognition and stability analysis, volume 1. American Society of Mechanical Engineers, 2015.
  4. M. Otten, R. A. Shah, N. F. Scherer, M. Min, M. Pelton, and S. K. Gray, Entanglement of two, three and four plasmonically coupled quantum dots, Physical Review B, 92:125432, 2015.
  5. D. A. May, J. Brown, and L. Le Pourhiet. pTatin3D: High-performance methods for long-term lithospheric dynamics, In Proceedings of SC14: International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, 2014.
  6. R. Anderson, V. Dobrev, Tz. Kolev and R. Rieben, Monotonicity in high-order curvilinear finite element ALE remap, Int. J. Numer. Meth. Fluids, 77(5), pp. 249–273, 2014.
  7. Kamran, Kazem, et al. A compressible Lagrangian framework for modeling the fluid–structure interaction in the underwater implosion of an aluminum cylinder. Mathematical Models and Methods in Applied Sciences 23.02 2013.
  8. Tz. Kolev and P. Vassilevski, Parallel auxiliary space AMG solver for H(div) problems, SIAM J. Sci. Comp., 34, pp. A3079–A3098, 2012.
  9. V. Dobrev, Tz. Kolev and R. Rieben, High-order curvilinear finite element methods for Lagrangian hydrodynamics, SIAM J. Sci. Comp., 34, pp. B606–B641, 2012.
  10. J. Brown, Efficient nonlinear solvers for nodal high-order finite elements in 3D, Journal of Scientific Computing, 45:48–63, 2010. doi:10.1007/s10915-010-9396-8
  11. Tz. Kolev and P. Vassilevski, Parallel auxiliary space AMG for H(curl) problems, J. Comput. Math., 27, pp. 604-623, 2009.

Presentations

2017

  1. A. Abdelfattah, M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, Tz. Kolev, I. Masliah, S. Tomov, Accelerating Tensor Contractions in High-Order FEM with MAGMA Batched, SIAM Conference on Computer Science and Engineering (SIAM CSE'17), Atlanta, GA, February 26-March 3, 2017.
  2. P. Fischer, Efficiency of High-Order Methods on the 2nd Generation Intel Xeon Phi Processor, SIAM Conference on Computer Science and Engineering (SIAM CSE'17), Atlanta, GA, February 26-March 3, 2017.
  3. M. Min, Spectral Element Simulation for Nanowire Solar Cells on HPC Platforms, SIAM Conference on Computer Science and Engineering (SIAM CSE'17), Atlanta, GA, February 26-March 3, 2017.

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