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Sarah Neuwirth

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affiliation: University of Mainz, Germany
affiliation (former): Goethe University Frankfurt, Germany

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2020 – today

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2026
[c26]
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Zhaobin Zhu, Andreas Henkel, Sarah Neuwirth:
Exploring I/O Performance and Power Consumption Trade-offs in Production Environments. SCA/HPC Asia Workshops 2026: 399-406
[e5]
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Sarah Neuwirth, Arnab Kumar Paul, Tobias Weinzierl, Erin Claire Carson:
High Performance Computing - ISC High Performance 2025 International Workshops, Hamburg, Germany, June 10-13, 2025, Revised Selected Papers. Lecture Notes in Computer Science 16091, Springer 2026, ISBN 978-3-032-07611-3 [contents]
2025
[c25]
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Zhaobin Zhu, Leonie Derstroff, Sarah Neuwirth:
Benchmarking Darshan and Recorder for HPC I/O Profiling and Tracing. CLUSTER Workshops 2025: 1-6
[c24]
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Chen Wang, Zhaobin Zhu, Kathryn M. Mohror, Sarah Neuwirth, Marc Snir:
VerifyIO: Verifying Adherence to Parallel I/O Consistency Semantics. IPDPS 2025: 1-12
[c23]
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Dlyaver Djebarov, Radita Liem, Sarah Neuwirth, Jean Luca Bez, Suren Byna:
Streamlining HDF5's AI Workloads Benchmarking. IPDPS (Workshops) 2025: 722-730
[c22]
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Niklas Bartelheimer, Sarah Neuwirth:
Comprehensive Performance Analysis of Portals4 Communication Primitives on BXI Hardware. MASCOTS 2025: 1-8
[c21]
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Meng Tang, Zhaobin Zhu, Luanzheng Guo, James G. Bandy, Tim Carlson, Sarah Neuwirth, Anthony Kougkas, Xian-He Sun, Nathan R. Tallent:
Quantifying AWS S3 I/O Performance Boundaries Using the Roofline Model. SC Workshops 2025: 1415-1423
[c20]
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Zhaobin Zhu, Chen Wang, Sarah Neuwirth:
Advancing HPC Performance Modeling with an Interactive, Automated and Tool-Agnostic ML-Driven Workflow. SSDBM 2025: 16:1-16:6
[c19]
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Sarah Neuwirth, Hariharan Devarajan, Chen Wang, Jay F. Lofstead:
XIO: Toward eXplainable I/O for HPC Systems. SSDBM 2025: 23:1-23:6
[e4]
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Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth:
Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15385, Springer 2025, ISBN 978-3-031-90199-7 [contents]
[e3]
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Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth:
Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15386, Springer 2025, ISBN 978-3-031-90202-4 [contents]
[e2]
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Suren Byna, Anthony Kougkas, Sarah Neuwirth, Venkat Vishwanath, Jalil Boukhobza, Alfredo Cuzzocrea, Dong Dai, Jean Bez:
Proceedings of the 37th International Conference on Scalable Scientific Data Management, SSDBM 2025, Columbus, OH, USA, June 23-25, 2025. ACM 2025, ISBN 979-8-4007-1462-7 [contents]
[e1]
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Michèle Weiland, Sarah Neuwirth, Carola Kruse, Tobias Weinzierl:
High Performance Computing. ISC High Performance 2024 International Workshops - Hamburg, Germany, May 12-16, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15058, Springer 2025, ISBN 978-3-031-73715-2 [contents]
2024
[j2]
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Niklas Bartelheimer, Zhaobin Zhu, Sarah Neuwirth:
Automated Network Performance Characterization for HPC Systems. Int. J. Netw. Comput. 14(1): 2-25 (2024)
[j1]
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Arnab K. Paul, Sarah Neuwirth, Bharti Wadhwa, Feiyi Wang, Sarp Oral, Ali Raza Butt:
Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems. ACM Trans. Storage 20(2): 11:1-11:42 (2024)
[c18]
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Niklas Bartelheimer, Sarah Neuwirth:
Leveraging Portals4 Microbenchmarks to Enhance GASPI Performance on BXI Networks. CLUSTER Workshops 2024: 176-177
2023
[c17]
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Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, Ali Raza Butt:
An I/O Performance Evaluation of Varying CephFS Striping Patterns. CLUSTER Workshops 2023: 25-31
[c16]
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Zhaobin Zhu, Sarah Neuwirth:
Characterization of Large-scale HPC Workloads with non-naïve I/O Roofline Modeling and Scoring. ICPADS 2023: 737-744
[c15]
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Niklas Bartelheimer, Sarah Neuwirth:
Toward Reproducible Benchmarking of PGAS and MPI Communication Schemes. ICPADS 2023: 1959-1967
[c14]
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Niklas Bartelheimer, Zhaobin Zhu, Sarah Neuwirth:
Toward a Modular Workflow for Network Performance Characterization. IPDPS Workshops 2023: 331-334
[c13]
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Zhaobin Zhu, Niklas Bartelheimer, Sarah Neuwirth:
An Empirical Roofline Model for Extreme-Scale I/O Workload Analysis. IPDPS Workshops 2023: 622-627
[c12]
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Debasmita Biswas, Arnab K. Paul, Sarah Neuwirth, Ali Raza Butt:
Modeling the Impact of System-Level Parameters on I/O Performance of HPC Applications. MASCOTS 2023: 1-4
2022
[c11]
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Zhaobin Zhu, Sarah Neuwirth, Thomas Lippert:
A Comprehensive I/O Knowledge Cycle for Modular and Automated HPC Workload Analysis. CLUSTER 2022: 581-588
[c10]
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Sarah Neuwirth:
Assessment of the I/O and Storage Subsystem in Modular Supercomputing Architectures. CLUSTER 2022: 589-596
[c9]
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Sarah Neuwirth:
Bridging the Gap between Education and Research: A Retrospective on Simulating an HPC Conference. EduHPC@SC 2022: 34-41
2021
[c8]
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Sarah Neuwirth, Arnab Kumar Paul:
Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective. CLUSTER 2021: 671-679
[c7]
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Sarah Neuwirth:
Toward a Comprehensive Benchmark Suite for Evaluating GASPI in HPC Environments. CLUSTER 2021: 827-828
[c6]
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Debasmita Biswas, Sarah Neuwirth, Arnab Kumar Paul, Ali Raza Butt:
Bridging Network and Parallel I/O Research for Improving Data-Intensive Distributed Applications. INDIS@SC 2021: 50-56

2010 – 2019

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2019
[b1]
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Sarah Neuwirth:
Accelerating Network Communication and I/O in Scientific High Performance Computing Environments. University of Heidelberg, Germany, 2019
[c5]
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Bharti Wadhwa, Arnab Kumar Paul, Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ali Raza Butt, Jon Bernard, Kirk W. Cameron:
iez: Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems. IPDPS 2019: 610-620
2017
[c4]
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Sarah Neuwirth, Feiyi Wang, Sarp Oral, Ulrich Brüning:
Automatic and Transparent Resource Contention Mitigation for Improving Large-Scale Parallel File System Performance. ICPADS 2017: 604-613
2016
[c3]
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Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan Vazhkudai, James H. Rogers, Ulrich Brüning:
Using Balanced Data Placement to Address I/O Contention in Production Environments. SBAC-PAD 2016: 9-17
2015
[c2]
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Sarah Neuwirth, Dirk Frey, Mondrian Nuessle, Ulrich Brüning:
Scalable communication architecture for network-attached accelerators. HPCA 2015: 627-638
[c1]
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Sarah Neuwirth, Dirk Frey, Ulrich Brüning:
Communication Models for Distributed Intel Xeon Phi Coprocessors. ICPADS 2015: 499-506

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