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  • Johannes Habich, Christian Feichtinger, Harald Köstler, Georg Hager, Gerhard Wellein
  • Mathematics, Computer Science
  • ArXiv
  • 2011 (First Publication: 4 December 2011)
  • Abstract GPUs offer several times the floating point performance and memory bandwidth of current standard two socket CPU compute nodes, e.g. NVIDIA C2070 vs. Intel Xeon Westmere X5650. The latticeContinue Reading
  • Christian Feichtinger, Johannes Habich, Harald Köstler, Georg Hager, Ulrich Rüde, Gerhard Wellein
  • Computer Science
  • Parallel Comput.
  • 2011 (First Publication: 8 July 2010)
  • Sustaining a large fraction of single GPU performance in parallel computations is considered to be the major problem of GPU-based clusters. We address this issue in the context of a lattice BoltzmannContinue Reading
  • Christian Feichtinger, Johannes Habich, Harald Köstler, Ulrich Rüde, Takayuki Aoki
  • Computer Science
  • Parallel Comput.
  • 2015 (First Publication: 1 July 2015)
  • Abstract Computational fluid dynamic simulations are in general very compute intensive. Only by parallel simulations on modern supercomputers the computational demands of complex simulation tasks canContinue Reading