Efficient simulations on GPU hardware

Session

Contributed talks

24 Oct 2022, 13:20

HIT (ETH Zürich)

Conveners

Contributed talks: Keynotes

• Zan Kokalj
• Marina Krstic Marinkovic (ETH Zurich)
• Roman Gruber

Contributed talks

• Mika Lauk
• Piotr Korcyl

Contributed talks

• Tim Harris
• Anian Altherr

Contributed talks

• Javad Komijani (ETH Zürich)
• Gabriele Pierini

Contributed talks

• Bartosz Kostrzewa
• Juan Antonio Fernandez de la Garza

Contributed talks

• Andrea Shindler
• Thea Budde

Contributed talks

• Paola Tavella
• Felix Ziegler (The University of Edinburgh)

Presentation materials

GPUsimulationsWorkshop_Closing.pdf

24. Keynote 1: The Rise of Tightly-Coupled Processor Clusters

Luca Benini (ETHZ)

24/10/2022, 13:20

25. Keynote 2: Future Architectures for Computing and AI

Bill McColl (Huawei)

24/10/2022, 14:00

26. Keynote 3: Scaling Machine Learning and Scientific Computing: A Data-Centric Perspective

Tal Ben-Nun (ETH Zürich)

24/10/2022, 14:40

27. Keynote 4: To the Exascale, and Beyond: Computing Challenges in Lattice QCD

Kate Clark

24/10/2022, 15:20

30. Talk 1: Machine Learning applications to lattice QCD

Andrea Shindler (Michigan State University)

25/10/2022, 09:30

31. Talk 2: Applications of normalizing flows as generative models for lattice field theory

Javad Komijani (ETH Zürich)

25/10/2022, 10:45

37. Talk 3: Machine learning hadron spectral functions in lattice qcd

Heng-Tong Ding

25/10/2022, 13:45

32. Talk 4: Hierarchical autoregressive approach to two-dimensional statistical systems

Piotr Korcyl

25/10/2022, 15:00

33. Talk 5: Efficient simulations of ML and LQCD

Denis Boyda (Argonne National Laboratory)

25/10/2022, 15:45

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

35. Talk 7: tmLQCD on GPUs: minimum effort approach to performance-portability

Bartosz Kostrzewa

26/10/2022, 10:45

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

18. Talk 9: One Code and Four APIs : performance portable software for lattice field theory

Peter Boyle

26/10/2022, 15:00

19. Talk 10: Experience using MILC and QUDA on various GPU systems

Steven Gottlieb

26/10/2022, 15:45

20. Talk 11: GPU port of openQCD using CUDA

Felix Ziegler

27/10/2022, 09:30

21. Talk 12: HILA lattice simulation framework - write once, run everywhere

Kari Rummukainen

27/10/2022, 10:45

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

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. Talk 14: QUDA: Getting more QCD out of your GPU

Mathias Wagner

27/10/2022, 15:00

23. Talk 15: Simulations of Lattice Quantum Chromodynamics on GPUs

Balint Joo

27/10/2022, 15:45

42. Q&A

44. Talk 13: Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment