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Efficient simulations on GPU hardware

24–27 Oct 2022
ETH Zürich
Europe/Zurich timezone

Contribution List

27 out of 27 displayed
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  1. 24. Keynote 1: The Rise of Tightly-Coupled Processor Clusters
    Luca Benini (ETHZ)
    24/10/2022, 13:20
  2. 25. Keynote 2: Future Architectures for Computing and AI
    Bill McColl (Huawei)
    24/10/2022, 14:00
  3. 26. Keynote 3: Scaling Machine Learning and Scientific Computing: A Data-Centric Perspective
    Tal Ben-Nun (ETH Zürich)
    24/10/2022, 14:40
  4. 27. Keynote 4: To the Exascale, and Beyond: Computing Challenges in Lattice QCD
    Kate Clark
    24/10/2022, 15:20
  5. 40. Student Flash-Talk 1: Cachew: Machine Learning Input Data Processing as a Service
    Dan-Ovidiu Graur (ETH Zurich)
    24/10/2022, 16:30
  6. 41. Student Flash-Talk 2
    Foteini Strati (ETH Zürich)
    24/10/2022, 16:45
  7. 28. Panel Discussion
    Fritz Bayer, Luca Benini (ETHZ), Marina Krstic Marinkovic (ETH Zurich), Tal Ben-Nun (ETH Zürich)
    24/10/2022, 17:00
  8. 30. Talk 1: Machine Learning applications to lattice QCD
    Andrea Shindler (Michigan State University)
    25/10/2022, 09:30
  9. 31. Talk 2: Applications of normalizing flows as generative models for lattice field theory
    Javad Komijani (ETH Zürich)
    25/10/2022, 10:45
  10. 37. Talk 3: Machine learning hadron spectral functions in lattice qcd
    Heng-Tong Ding
    25/10/2022, 13:45
  11. 32. Talk 4: Hierarchical autoregressive approach to two-dimensional statistical systems
    Piotr Korcyl
    25/10/2022, 15:00
  12. 33. Talk 5: Efficient simulations of ML and LQCD
    Denis Boyda (Argonne National Laboratory)
    25/10/2022, 15:45
  13. 34. Talk 6: Real-time techniques and topological data analysis for non-perturbative phenomena in QFT
    Daniel Spitz (Heidelberg University, Institute for Theoretical Physics)
    26/10/2022, 09:30
  14. 35. Talk 7: tmLQCD on GPUs: minimum effort approach to performance-portability
    Bartosz Kostrzewa
    26/10/2022, 10:45
  15. 36. Talk 8: ATLAS fast simulation 3 (Atlfast3) is a performance-focused variant of the full ATLAS simulation
    Henry Ann Day-Hall
    26/10/2022, 13:45
  16. 18. Talk 9: One Code and Four APIs : performance portable software for lattice field theory
    Peter Boyle
    26/10/2022, 15:00
  17. 19. Talk 10: Experience using MILC and QUDA on various GPU systems
    Steven Gottlieb
    26/10/2022, 15:45
  18. 20. Talk 11: GPU port of openQCD using CUDA
    Felix Ziegler
    27/10/2022, 09:30
  19. 21. Talk 12: HILA lattice simulation framework - write once, run everywhere
    Kari Rummukainen
    27/10/2022, 10:45
  20. 47. Flash-Talk: Perspectives and challenges in studying the properties of strongly interacting matter in lattice qcd calculations
    Jishnu Goswami (Bielefeld University)
    27/10/2022, 13:30
  21. 45. Talk 13: Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment
    Syed Anwar Ul Hasan (ETH Zurich)
    27/10/2022, 13:45
  22. 22. Talk 14: QUDA: Getting more QCD out of your GPU
    Mathias Wagner
    27/10/2022, 15:00
  23. 23. Talk 15: Simulations of Lattice Quantum Chromodynamics on GPUs
    Balint Joo
    27/10/2022, 15:45
  24. 46. Flash-Talk
  25. 42. Q&A
  26. 43. Q&A
  27. 44. Talk 13: Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment