Efficient simulations on GPU hardware

Speaker List

• Fritz Bayer
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    Panel Discussion

• Luca Benini (ETHZ)
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    Keynote 1: The Rise of Tightly-Coupled Processor Clusters

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    Panel Discussion

• Tal Ben-Nun (ETH Zürich)
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    Keynote 3: Scaling Machine Learning and Scientific Computing: A Data-Centric Perspective

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    Panel Discussion

• Denis Boyda (Argonne National Laboratory)
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    Talk 5: Efficient simulations of ML and LQCD

• Peter Boyle (Brookhaven National Laboratory)
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    Talk 9: One Code and Four APIs : performance portable software for lattice field theory

• Kate Clark
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    Keynote 4: To the Exascale, and Beyond: Computing Challenges in Lattice QCD

• Henry Ann Day-Hall (Czech Technical University in Prague (CZ))
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    Talk 8: ATLAS fast simulation 3 (Atlfast3) is a performance-focused variant of the full ATLAS simulation

• Heng-Tong Ding
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    Talk 3: Machine learning hadron spectral functions in lattice qcd

• Jishnu Goswami (Bielefeld University)
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    Flash-Talk: Perspectives and challenges in studying the properties of strongly interacting matter in lattice qcd calculations

• Steven Gottlieb (Indiana University)
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    Talk 10: Experience using MILC and QUDA on various GPU systems

• Dan-Ovidiu Graur (ETH Zurich)
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    Student Flash-Talk 1: Cachew: Machine Learning Input Data Processing as a Service

• Syed Anwar Ul Hasan
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    Talk 13: Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment

• Balint Joo (Oak Ridge National Laboratory)
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    Talk 15: Simulations of Lattice Quantum Chromodynamics on GPUs

• Javad Komijani (ETH Zürich)
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    Talk 2: Applications of normalizing flows as generative models for lattice field theory

• Piotr Korcyl
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    Talk 4: Hierarchical autoregressive approach to two-dimensional statistical systems

• Bartosz Kostrzewa
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    Talk 7: tmLQCD on GPUs: minimum effort approach to performance-portability

• Marina Krstic Marinkovic (ETH Zurich)
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    Panel Discussion

• Bill McColl (Huawei)
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    Keynote 2: Future Architectures for Computing and AI

• Kari Rummukainen
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    Talk 12: HILA lattice simulation framework - write once, run everywhere

• Andrea Shindler (Michigan State University)
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    Talk 1: Machine Learning applications to lattice QCD

• Daniel Spitz (Heidelberg University, Institute for Theoretical Physics)
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    Talk 6: Real-time techniques and topological data analysis for non-perturbative phenomena in QFT

• Foteini Strati (ETH Zürich)
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    Student Flash-Talk 2

• Mathias Wagner (NVIDIA)
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    Talk 14: QUDA: Getting more QCD out of your GPU

• Felix Ziegler (The University of Edinburgh)
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    Talk 11: GPU port of openQCD using CUDA