Deadlock-Free Oblivious Routing for Arbitrary Topologies. - Jens Domke; Torsten Hoefler; Wolfgang E. Nagel (IPDPS, 2011)

Runtime Tracing of the Community Earth System Model: Feasibility Study and Benefits. - Jens Domke; Dali Wang (ICCS, 2012)

Tracing Data Movements within MPI Collectives. - Kevin A. Brown; Jens Domke; Satoshi Matsuoka (EuroMPI/ASIA, 2014)

Fail-in-Place Network Design: Interaction Between Topology, Routing Algorithm and Failures. - Jens Domke; Torsten Hoefler; Satoshi Matsuoka (SC, 2014)

Hardware-Centric Analysis of Network Performance for MPI Applications. - Kevin A. Brown; Jens Domke; Satoshi Matsuoka (ICPADS, 2015)

Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing. - Jens Domke; Torsten Hoefler; Satoshi Matsuoka (HPDC, 2016)

Scheduling-aware routing for supercomputers. - Jens Domke; Torsten Hoefler (SC, 2016)

A scalable framework for the global offline community land model ensemble simulation. - Dali Wang; Jens Domke; Jiafu Mao; Xiaoying Shi; Daniel M. Ricciuto (Int. J. Comput. Sci. Eng., 2016)

Preliminary Performance Analysis of Multi-rail Fat-tree Networks. - Noah Wolfe; Misbah Mubarak; Nikhil Jain; Jens Domke; Abhinav Bhatele; Christopher D. Carothers; Robert B. Ross (CCGrid, 2017)

Toward reliable validation of HPC network simulation models. - Misbah Mubarak; Nikhil Jain; Jens Domke; Noah Wolfe; Caitlin Ross; Jianping Kelvin Li; Abhinav Bhatele; Christopher D. Carothers; Kwan-Liu Ma; Robert B. Ross (WSC, 2017)

Routing on the Channel Dependency Graph:: A New Approach to Deadlock-Free, Destination-Based, High-Performance Routing for Lossless Interconnection Networks. - Jens Domke (2017)

Mitigating inter-job interference using adaptive flow-aware routing. - Staci A. Smith; Clara E. Cromey; David K. Lowenthal; Jens Domke; Nikhil Jain; Jayaraman J. Thiagarajan; Abhinav Bhatele (SC, 2018)

Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TreeScope. - Harsh Bhatia; Nikhil Jain; Abhinav Bhatele; Yarden Livnat; Jens Domke; Valerio Pascucci; Peer-Timo Bremer (Comput. Graph. Forum, 2018)

The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees? - Jens Domke; Satoshi Matsuoka; Ivan Radanov; Yuki Tsushima; Tomoya Yuki; Akihiro Nomura 002; Shin'ichi Miura; Nic McDonald; Dennis Lee Floyd; Nicolas Dubé (Hot Interconnects, 2019)

Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches? - Jens Domke; Kazuaki Matsumura; Mohamed Wahib; Haoyu Zhang; Keita Yashima; Toshiki Tsuchikawa; Yohei Tsuji; Artur Podobas; Satoshi Matsuoka (IPDPS, 2019)

HyperX topology: first at-scale implementation and comparison to the fat-tree. - Jens Domke; Satoshi Matsuoka; Ivan R. Ivanov; Yuki Tsushima; Tomoya Yuki; Akihiro Nomura 002; Shin'ichi Miura; Nic McDonald; Dennis Lee Floyd; Nicolas Dubé (SC, 2019)

Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. - Tonmoy Dey; Kento Sato; Bogdan Nicolae; Jian Guo; Jens Domke; Weikuan Yu; Franck Cappello; Kathryn M. Mohror (IPDPS Workshops, 2020)

Scaling distributed deep learning workloads beyond the memory capacity with KARMA. - Mohamed Wahib; Haoyu Zhang; Truong Thao Nguyen; Aleksandr Drozd; Jens Domke; Lingqi Zhang 001; Ryousei Takano; Satoshi Matsuoka (SC, 2020)

White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing. - Roman Iakymchuk; Daichi Mukunoki; Artur Podobas; Fabienne Jézéquel; Toshiyuki Imamura; Norihisa Fujita; Jens Huthmann; Shuhei Kudo; Yiyu Tan; Jens Domke; Kai Torben Ohlhus; Takeshi Fukaya; et al. (CoRR, 2020)

High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers. - Maciej Besta; Jens Domke; Marcel Schneider; Marek Konieczny; Salvatore Di Girolamo; Timo Schneider; Ankit Singla; Torsten Hoefler (CoRR, 2020)

A64FX - Your Compiler You Must Decide! - Jens Domke (CLUSTER, 2021)

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? - Jens Domke; Emil Vatai; Aleksandr Drozd; Peng Chen 035; Yosuke Oyama; Lingqi Zhang 001; Shweta Salaria; Daichi Mukunoki; Artur Podobas; Mohamed Wahib; Satoshi Matsuoka (IPDPS, 2021)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks. - Maciej Besta; Jens Domke; Marcel Schneider; Marek Konieczny; Salvatore Di Girolamo; Timo Schneider; Ankit Singla; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2021)

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. - Truong Thao Nguyen; François Trahay; Jens Domke; Aleksandr Drozd; Emil Vatai; Jianwei Liao 001; Mohamed Wahib; Balazs Gerofi (IPDPS, 2022)

At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. - Jens Domke; Emil Vatai; Balazs Gerofi; Yuetsu Kodama; Mohamed Wahib; Artur Podobas; Sparsh Mittal; Miquel Pericàs; Lingqi Zhang 001; Peng Chen 035; Aleksandr Drozd; Satoshi Matsuoka (CoRR, 2022)

Preparing for the Future - Rethinking Proxy Apps. - Satoshi Matsuoka; Jens Domke; Mohamed Wahib; Aleksandr Drozd; Ray Bair; Andrew A. Chien; Jeffrey S. Vetter; John Shalf (CoRR, 2022)

Preparing for the Future - Rethinking Proxy Applications. - Satoshi Matsuoka; Jens Domke; Mohamed Wahib; Aleksandr Drozd; Andrew A. Chien; Raymond Bair; Jeffrey S. Vetter; John Shalf (Comput. Sci. Eng., 2022)

High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. - William S. Moses; Ivan R. Ivanov; Jens Domke; Toshio Endo; Johannes Doerfert; Oleksandr Zinenko (PPoPP, 2023)

Augmenting ML-based Predictive Modelling with NLP to Forecast a Job's Power Consumption. - Francesco Antici; Keiji Yamamoto; Jens Domke; Zeynep Kiziltan (SC Workshops, 2023)

Towards Collaborative Continuous Benchmarking for HPC. - Olga Pearce; Alec Scott; Gregory Becker; Riyaz Haque; Nathan Hanford; Stephanie Brink; Doug Jacobsen; Heidi Poxon; Jens Domke; Todd Gamblin (SC Workshops, 2023)

Myths and legends in high-performance computing. - Satoshi Matsuoka; Jens Domke; Mohamed Wahib; Aleksandr Drozd; Torsten Hoefler (Int. J. High Perform. Comput. Appl., 2023)

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. - Jens Domke; Emil Vatai; Balazs Gerofi; Yuetsu Kodama; Mohamed Wahib; Artur Podobas; Sparsh Mittal; Miquel Pericàs; Lingqi Zhang 001; Peng Chen 035; Aleksandr Drozd; Satoshi Matsuoka (ACM Trans. Archit. Code Optim., 2023)

Retargeting and Respecializing GPU Workloads for Performance Portability. - Ivan R. Ivanov; Oleksandr Zinenko; Jens Domke; Toshio Endo; William S. Moses (CGO, 2024)

Evaluation of Vectorization Methods on Arm SVE Using the Exo Language. - Rin Iwai; Emil Vatai; Jens Domke; Yukinori Sato (CLUSTER Workshops, 2024)

Automatic Parallelization and OpenMP Offloading of Fortran Array Notation. - Ivan R. Ivanov; Jens Domke; Toshio Endo; Johannes Doerfert (IWOMP, 2024)

A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. - Nils Blach; Maciej Besta; Daniele De Sensi; Jens Domke; Hussein Harake; Shigang Li 002; Patrick Iff; Marek Konieczny; Kartik Lakhotia; Ales Kubicek; Marcel Ferrari; Fabrizio Petrini; et al. (NSDI, 2024)

SPMD IR: Unifying SPMD and Multi-value IR Showcased for Static Verification of Collectives. - Semih Burak; Ivan R. Ivanov; Jens Domke; Matthias S. Müller (EuroMPI, 2024)

Benchmarking in the Datacenter (BID): Expanding to the Cloud. - Wei-Chen Lin; Jens Domke (ICPE (Companion), 2024)

Configurable Non-uniform All-to-all Algorithms. - Ke Fan; Jens Domke; Seydou Ba; Sidharth Kumar (CoRR, 2024)

F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems. - Francesco Antici; Andrea Bartolini; Jens Domke; Zeynep Kiziltan; Keiji Yamamoto (Zenodo, 2024)

Performance Projection for Design-Space Exploration on future HPC Architectures. - Clément Gavoille; Hugo Taboada; Jens Domke; Brice Goglin; Emmanuel Jeannot (IPDPS, 2025)

UoPC: A User-Based Online Framework to Predict Job Power Consumption in HPC Systems. - Francesco Antici; Andrea Borghesi; Jens Domke; Zeynep Kiziltan (ISC, 2025)

A Unifying Framework to Enable Artificial Intelligence in High-Performance Computing Workflows. - Jens Domke; Mohamed Wahib; Anshu Dubey; Tal Ben-Nun; Erik W. Draeger (Comput. Sci. Eng., 2025)

RAPTOR: Practical Numerical Profiling of Scientific Applications. - Felix Hörold; Ivan R. Ivanov; Akash Dhruv; William S. Moses; Anshu Dubey; Mohamed Wahib; Jens Domke (CoRR, 2025)

The Beauty of Anisotropic Mesh Refinement: Omnitrees for Efficient Dyadic Discretizations. - Theresa Pollinger; Masado Ishii; Jens Domke (CoRR, 2025)

An online algorithm for power consumption prediction of HPC workload. - Francesco Antici; Andrea Borghesi; Zeynep Kiziltan; Jens Domke; Andrea Bartolini (Future Gener. Comput. Syst., 2026)