Publications and Contributions

Characterization of Large-Scale HPC Workloads With Non-Naïve I/O Roofline Modeling and Scoring
Z. Zhu and S. Neuwirth
29th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023) (accepted for publication)

Toward Reproducible Benchmarking of PGAS and MPI Communication Schemes
N. Bartelheimer and S. Neuwirth
29th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023) (accepted for publication)

An I/O Performance Evaluation of Varying CephFS Striping Patterns
D. Biswas, S. Neuwirth, A.K. Paul, A. R. Butt
3rd Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads (REX-IO 2023), to be held in conjunction with IEEE CLUSTER 2023 (accepted for publication)

Modeling The Impact of System-level Parameters on I/O Performance of HPC Applications
D. Biswas, A.K. Paul, S. Neuwirth, A. R. Butt
Short paper, 31st International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023) (accepted for publication)

Leveraging HPC Performance Engineering to Support Exascale Scientific Discovery [Slides]
S. Neuwirth
Keynote talk, Platform for Advanced Scientific Computing (PASC’23) Conference 

Toward the Integration of Quantum Processors into the Modular Supercomputing Architecture [Poster]
P. Döbler*, S. Neuwirth*, and Th. Lippert
Research Poster, ISC High Performance Conference 2023 (ISC23)
DOI: http://dx.doi.org/10.13140/RG.2.2.16124.51844
*Authors contributed equally.

MAWA-HPC: Modular and Automated Workload Analysis for HPC Systems [Poster]
Z. Zhu*, N. Bartelheimer*, and S. Neuwirth*
Research Poster, ISC High Performance Conference 2023 (ISC23)
DOI: http://dx.doi.org/10.13140/RG.2.2.10671.92325
*Authors contributed equally.

An Empirical Roofline Model for Extreme-Scale I/O Workload Analysis
Z. Zhu, N. Bartelheimer, and S. Neuwirth
4th Workshop on on Extreme-Scale Storage and Analysis (ESSA'23), held in conjunction with IPDPS'23
DOI: https://doi.org/10.1109/IPDPSW59300.2023.00106

Toward a Modular Workflow for Network Performance Characterization
N. Bartelheimer, Z. Zhu, and S. Neuwirth
25th Workshop on Advances in Parallel and Distributed Computational Models (APDCM'23), held in conjunction with IPDPS'23
DOI: https://doi.org/10.1109/IPDPSW59300.2023.00062 

Einstein–Podolsky–Rosen–Bohm experiments: A discrete data driven approach
H. De Raedt, M. I. Katsnelson, M. S. Jattana, V. Mehta, M. Willsch, D. Willsch, K. Michielsen, F. Jin
Annals of Physics, Volume 453
DOI: https://doi.org/10.1016/j.aop.2023.169314

Transdermal and Lateral Effective Diffusivities for Drug Transport in Stratum Corneum from a Microscopic Anisotropic Diffusion Model
Junxi Wang, Johannes M. Nitsche, Gerald B. Kasting, Gabriel Wittum, Arne Nägel
European Journal of Pharmaceutics and Biopharmaceutics
DOI: https://doi.org/10.1016/j.ejpb.2023.01.025

An efficient algorithm for biomechanical problems based on a fully implicit nested Newton solver
Markus M. Knodel, Salvatore di Stefano, Arne Nägel, Alfio Grillo
Theoretical and Applied Mechanics, 2022, Volume 49, Issue 2, Pages: 183-221
DOI: https://doi.org/10.2298/TAM221115012K

Bridging the Gap between Education and Research: A Retrospective on Simulating an HPC Conference [Slides]
S. Neuwirth
2022 IEEE/ACM International Workshop on Education for High-Performance Computing (EduHPC-22), held in conjunction with SC22
DOI: https://doi.org/10.1109/EduHPC56719.2022.00010

Toward Embracing Different Perspectives on the Lustre File System [Slides]
S. Neuwirth
Invited talk, Lustre Workshop at DKRZ, Hamburg, Germany, 2022

Assessment of the I/O and Storage Subsystem in Modular Supercomputing Architectures [Slides]
S. Neuwirth
2022 IEEE International Conference on Cluster Computing (CLUSTER)
DOI: https://doi.org/10.1109/CLUSTER51413.2022.00077

A Comprehensive I/O Knowledge Cycle for Modular and Automated HPC Workload Analysis [Slides]
Z. Zhu, S. Neuwirth, and Th. Lippert
2022 IEEE International Conference on Cluster Computing (CLUSTER)
DOI: https://doi.org/10.1109/CLUSTER51413.2022.00076

Modular Supercomputing and its Role in Europe’s Exascale Computing Strategy [Slides]
S. Neuwirth
Plenary Talk and Review Paper, 39th International Symposium on Lattice Field Theory (Lattice 2022)
DOI: https://doi.org/10.22323/1.430.0245

Extreme-scale I/O and Storage Resources in Heterogeneous Modular Supercomputing Architectures [Slides]
S. Neuwirth
Expert talk, Minisymposium “Storage Systems at Extreme Scale for Data-Centric Workflows”, Platform for Advanced Scientific Computing (PASC’22) Conference 

Extreme-scale I/O and Storage Infrastructures in Heterogeneous Modular Supercomputing Architectures [Slides]
S. Neuwirth
Expert talk, HPC I/O in the Data Center Workshop (HPC-IODC 2022), held in conjunction with ISC High Performance Conference 2022 (ISC22) 

Modular Supercomputing Research at the Leading Edge [Slides]
S. Neuwirth
Invited talk, Opening Ceremony of the HAICGU Cluster at Goethe University, Frankfurt, Germany, 2022 

Evaluating and Characterizing Parallel I/O in HPC Systems: Best Practices and Future Directions [Slides]
S. Neuwirth
Invited talk, CHPC National Conference 2021 (CHPC ’21) 

Porting Applications to a Modular Supercomputer - Experiences from the DEEP-EST Project
A. Kreuzer, Th. Lippert, E. Suarez, and N. Eicker
Book, ISBN: 978-3-95806-590-1, http://hdl.handle.net/2128/30498. Jülich Supercomputing Center, 2021.

Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications
D. Biswas, S. Neuwirth, A. K. Paul, and A. R. Butt
2021 IEEE/ACM Workshop on Innovating the Network for Data-Intensive Science (INDIS 2021), held in conjunction with SC21
DOI: https://doi.org/10.1109/INDIS54524.2021.00011

Toward a Comprehensive Benchmark Suite for Evaluating GASPI in HPC Environments
S. Neuwirth
2021 IEEE International Conference on Cluster Computing (CLUSTER)
DOI: https://doi.org/10.1109/Cluster48925.2021.00082

Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective [Slides]
S. Neuwirth and A. K. Paul
2021 IEEE International Conference on Cluster Computing (CLUSTER)
DOI: https://doi.org/10.1109/Cluster48925.2021.00100

Lustre Architecture and Key Benefits
S. Neuwirth
Invited talk, Lustre BOF, ISC High Performance Conference 2021 (ISC21)