Jens Domke

493 total citations
32 papers, 274 citations indexed

About

Jens Domke is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jens Domke has authored 32 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 11 papers in Information Systems. Recurrent topics in Jens Domke's work include Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (12 papers) and Advanced Data Storage Technologies (12 papers). Jens Domke is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Interconnection Networks and Systems (12 papers) and Advanced Data Storage Technologies (12 papers). Jens Domke collaborates with scholars based in Japan, United States and Switzerland. Jens Domke's co-authors include Torsten Hoefler, Wolfgang E. Nagel, Satoshi Matsuoka, Mohamed Wahib, Aleksandr Drozd, Nikhil Jain, Satoshi Matsuoka, Abhinav Bhatelé, Kevin Brown and Dali Wang and has published in prestigious journals such as Journal of Chemical Theory and Computation, Future Generation Computer Systems and Scientific Data.

In The Last Decade

Jens Domke

29 papers receiving 267 citations

Peers

Jens Domke

CNC

HA

IS

EEE

AI

Arthur S Buddy Bland United States

T. Liebsch United States

A. Ho United States

Yizheng Jiao United States

Amith R. Mamidala United States

Manjunath Gorentla Venkata United States

Jerzy Proficz Poland

Srinivas Sridharan United States

Yaosheng Fu United States

Yutaka Sugawara Japan

Arthur S Buddy Bland United States

Jens Domke

178 ×0.9

CNC

110 ×0.8

HA

46 ×0.6

IS

111 ×1.9

EEE

33 ×1.2

AI

Citations per year, relative to Jens Domke Jens Domke (= 1×) peers Arthur S Buddy Bland

Countries citing papers authored by Jens Domke

Since Specialization

Citations

This map shows the geographic impact of Jens Domke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jens Domke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Domke more than expected).

Fields of papers citing papers by Jens Domke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens Domke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jens Domke. The network helps show where Jens Domke may publish in the future.

Co-authorship network of co-authors of Jens Domke

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Domke. A scholar is included among the top collaborators of Jens Domke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jens Domke. Jens Domke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Bartolini, Andrea, et al.. (2025). An online algorithm for power consumption prediction of HPC workload. Future Generation Computer Systems. 175. 108064–108064.

2.

Sensi, Daniele De, et al.. (2025). Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality. ArXiv.org. 1901–1916. 1 indexed citations

3.

Domke, Jens, et al.. (2025). Dynamic Thread Coarsening for CPU and GPU OpenMP Code. 1066–1074.

4.

Domke, Jens, et al.. (2025). Parameterized Algorithms for Non-uniform All-to-all. 1–13.

5.

Bartolini, Andrea, et al.. (2025). F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems. Scientific Data. 12(1). 1321–1321. 1 indexed citations

6.

Yamamoto, Keiji, et al.. (2023). Augmenting ML-based Predictive Modelling with NLP to Forecast a Job's Power Consumption. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1820–1830. 5 indexed citations

7.

Pearce, Olga, et al.. (2023). Towards Collaborative Continuous Benchmarking for HPC. 627–635. 6 indexed citations

8.

Matsuoka, Satoshi, Jens Domke, Mohamed Wahib, Aleksandr Drozd, & Torsten Hoefler. (2023). Myths and legends in high-performance computing. The International Journal of High Performance Computing Applications. 37(3-4). 245–259. 8 indexed citations

9.

Domke, Jens, Balazs Gerofi, Yuetsu Kodama, et al.. (2023). At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Transactions on Architecture and Code Optimization. 20(4). 1–26. 1 indexed citations

10.

Matsuoka, Satoshi, Jens Domke, Mohamed Wahib, et al.. (2022). Preparing for the Future—Rethinking Proxy Applications. Computing in Science & Engineering. 24(2). 85–90. 2 indexed citations

11.

Domke, Jens, Aleksandr Drozd, Peng Chen, et al.. (2021). Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?. 1056–1065. 15 indexed citations

12.

Sato, Kento, Bogdan Nicolae, Jian Guo, et al.. (2020). Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. SPIRE - Sciences Po Institutional REpository. 1036–1043. 7 indexed citations

13.

Wahib, Mohamed, Haoyu Zhang, Truong Thao Nguyen, et al.. (2020). Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA. 1–15. 10 indexed citations

14.

Domke, Jens, et al.. (2019). The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees?. 1–4. 2 indexed citations

15.

Lowenthal, David K., et al.. (2018). Mitigating inter-job interference using adaptive flow-aware routing. IEEE International Conference on High Performance Computing, Data, and Analytics. 346–360. 7 indexed citations

16.

Mubarak, Misbah, Nikhil Jain, Jens Domke, et al.. (2017). Preliminary Performance Analysis of Multi-rail Fat-Tree Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 258–261. 16 indexed citations

17.

Wang, Dali, Jens Domke, Jiafu Mao, Xiaoying Shi, & Daniel Ricciuto. (2016). A scalable framework for the global offline community land model ensemble simulation. International Journal of Computational Science and Engineering. 12(1). 73–73. 1 indexed citations

18.

Domke, Jens, Torsten Hoefler, & Satoshi Matsuoka. (2016). Routing on the Dependency Graph. 3–14. 9 indexed citations

19.

Domke, Jens, Torsten Hoefler, & Satoshi Matsuoka. (2014). Fail-in-Place Network Design: Interaction Between Topology, Routing Algorithm and Failures. 597–608. 22 indexed citations

20.

Brown, Kevin, Jens Domke, & Satoshi Matsuoka. (2014). Tracing Data Movements within MPI Collectives. Tokyo Tech Research Repository (Tokyo Institute of Technology). 117–118. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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