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NHR@FAU

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Workshops

In page navigation: Research
  • Research Focus
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Workshops

  • SIAM PP24 MS: Two-part minisymposium at the SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP24), March 7, 2024 in Baltimore, MD, USA: Advancements in Sparse Linear Algebra: Hardware-Aware Algorithms and Optimization Techniques (part I, part II).
  • SIAM PP22 MS: Two-part minisymposium at the SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP22), February 25, 2022 (virtual conference): “Advances in Performance Modeling of Parallel Code“.
  • PMACS – Performance Monitoring and Analysis of Cluster Systems, in association with Euro-Par 2020, August 2020 (canceled), Warshaw, Poland.
  • PMACS – Performance Monitoring and Analysis of Cluster Systems, in association with Euro-Par 2019, Göttingen, August 2019.
  • SIAM PP18 MS: Two-part minisymposium at the SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18), March 7-10, 2018, Tokyo, Japan: “Performance Engineering from the Node Level to the Extreme Scale“.
  • ISC17 Workshop: Workshop at ISC High Performance 2017, June 22, 2017, Frankfurt, Germany: “Performance Engineering for HPC: Implementation, Processes, and Case Studies“.
  • ISC16 Workshop: 2nd International Workshop on “Performance Modeling: Methods and Applications (PMMA16)” at ISC High Performance 2016, June 23, 2016, Frankfurt, Germany.
  • ISC15 Workshop: ISC15 Workshop “Performance Modeling: Methods and Applications” at ISC High Performance 2015, July 12-16, 2015, Frankfurt, Germany.
  • SC14 BoF: BoF session at SC14, November 16-21, 2014, New Orleans LA, USA: “Code Optimization War Stories“.
  • ISC13 BoF: BoF session at ISC13, June 16-20, 2013, Leipzig, Germany: “LIKWID Performance Tools“.
  • SIAM PP14 MS: Two-part minisymposium at the SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP14), February 18-21, 2014, Portland, OR: “Optimizing Stencil-Based Algorithms“.
  • SC11 BoF: BoF session at Supercomputing 2011, November 13-18, 2011, Seattle, WA: “1000 x 0 = 0. Single-node optimisation does matter“.
Erlangen National High Performance Computing Center (NHR@FAU)
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