Publications obtained by using VSC

Here are the scientific Publications of the various Projects on the VSC, while a collection of interesting articles for the general audience can be found in the main menu at Presscorner.
 



12 entries found
with the tags: TU Wien x other x
  • Rupp Karl, Rudolf Florian, Weinbub Josef
    Features of ViennaCL in PETSc
    Austrian HPC Meeting 2018
    VSC project: 70769
  • Watson Layne T., Sosonkina Masha, Thacker William, Weinbub Josef, Rupp Karl
    Proceedings of the High Performance Computing Symposium (HPC 2018)
    SpringSim '18 2018 Spring Simulation Multiconference, Society for Computer Simulation International (2018)
  • Zhang Hong, Mills Richard T., Rupp Karl, Smith Barry F.
    Vectorized Parallel Sparse Matrix-Vector Multiplication in PETSc Using AVX-512
    ACM, ICPP 2018 Proceedings of the 47th International Conference on Parallel Processing (2018)
  • Georgios Diamantopoulos

    Proceedings of the European Seminar on Computing
    VSC project: 70977
  • Lukas Gnam

    Proceedings of the Vienna Young Scientists Symposium
  • Marijana Lazic,

    Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik
  • Rudolf Florian, Morhammer Andreas, Rupp Karl, Weinbub Josef
    Performance Enhancements of Algebraic Multigrid Methods in ViennaCL
    Austrian HPC Meeting 2017
    VSC project: 70769
  • Mills Richard T., Adams Mark, Brown Jed, Fabien Maurice, Isaac Tobin, Knepley Matthew G., Rupp Karl, Smith Barry F., Zhang Hong
    Experiences, Optimizations, and Future Directions with Petsc on the 2nd Generation ("Knights Landing") Intel Xeon Phi Processor
    SIAM Conference on Computational Science and Engineering 2017
    VSC project: 70769
  • L. Gnam, J. Weinbub, K. Rupp, F. Rudolf, S. Selberherr
    Using Graph Partitioning and Coloring for Flexible Coarse-Grained Shared-Memory Parallel Mesh Adaptation
    Proceedings of the 26th International Meshing Roundtable (IMR)
    VSC project: 70977
  • G. Diamantopoulos, J. Weinbub, A. Hössinger, S. Selberherr:
    Evaluation of the Shared-Memory Parallel Fast Marching Method for Re-Distancing Problems
    International Conference on Computational Science and Its Applications (ICCSA)
  • Morhammer Andreas, Rupp Karl, Rudolf Florian, Weinbub Josef
    Optimized sparse matrix-matrix multiplication for multi-core CPUs, GPUs, and MICs
    Austrian HPC Meeting 2016
    VSC project: 70769
  • Josef Weinbub, Andreas Hössinger
    Shared-Memory Parallelization of the Fast Marching Method Using an Overlapping Domain-Decomposition Approach
    High Performance Computing Symposium, ACM

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