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Efficient simulations on GPU hardware

Oct 24 – 27, 2022
ETH Zürich
Europe/Zurich timezone

Contribution List

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