Deadlock detected! — HPC Research
"Docker containers are kind of neat. They are also kind of a craven surrender to the
rotting mess of excessive software complexity."
—John Carmack
"Docker containers are kind of neat. They are also kind of a craven surrender to the rotting mess of excessive software complexity."—John Carmack
Three Publication Highlights
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J. Domke, S. Matsuoka, I.R. Ivanov, Y. Tsushima, T. Yuki, A. Nomura, S. Miura, N. McDonald, D.L. Floyd, N. Dube, "HyperX Topology: First at-scale Implementation and Comparison to the Fat-Tree," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’19, (Piscataway, NJ, USA), IEEE Press, Nov. 2019. | |
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J. Domke, T. Hoefler, and S. Matsuoka, "Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing," in Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC ’16, (New York, NY, USA), pp. 3-14, ACM, 2016. | |
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J. Domke, T. Hoefler, and W. E. Nagel, "Deadlock-Free Oblivious Routing for Arbitrary Topologies," in Proceedings of the 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Washington, DC, USA), pp. 613-624, IEEE Computer Society, May 2011. |
Publications by Year
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N. Blach, M. Besta, D.D. Sensi, J. Domke, H. Harake, S. Li, P. Iff, M. Konieczny, K. Lakhotia, A. Kubicek, M. Ferrari, F. Petrini, T. Hoefler, "A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network," accepted to appear in NSDI'24 Fall edition | |
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I. R. Ivanov, O. Zinenko, J. Domke, T. Endo, W. S. Moses, "Retargeting and Respecializing GPU Workloads for Performance Portability," to appear in IEEE/ACM International Symposium on Code Generation and Optimization (CGO'24) |
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J. Domke, E. Vatai, B. Gerofi, Y. Kodama, M. Wahib, A. Podobas, S. Mittal, M. Pericas, L. Zhang, P. Chen, A. Drozd, S. Matsuoka, "At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads," in ACM Transactions on Architecture and Code Optimization (TACO), accepted; to appear | |
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O. Pearce, A. Scott, G. Becker, R. Haque, N. Hanford, S. Brink, D. Jacobsen, H. Poxon, J. Domke, T. Gamblin, "Towards Collaborative Continuous Benchmarking for HPC," in Proceedings of the First International Workshop on HPC Testing and Evaluation of Systems, Tools, and Software (HPCTESTS@SC'23), Denver, CO, USA, November 17, 2021. | |
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F. Antici, K. Yamamoto, J. Domke, Z. Kiziltan, "Augmenting ML-based Predictive Modelling with NLP to Forecast a Job's Power Consumption," in Proceedings of the 1st International Workshop on the Environmental Sustainability of High-Performance Software (SHiPS@SC'23), Denver, CO, USA, November 12, 2021. | |
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R. Barton, M. Wahib, J. Domke, I.R. Ivanov, L. Zhang, S. Matsuoka, "BITFLEX - An HPC User-Driven Automatic Toolchain for Precision Manipulation and Approximate Computing," Poster presented at ISC High Performance 2023, ISC '23, Hamburg, Germany, May 2023. | |
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S. Matsuoka, J. Domke, M. Wahib, A. Drozd, T. Hoefler, "Myths and Legends in High-Performance Computing," in The International Journal of High Performance Computing Applications, IJHPCA, vol. 0, pp. 15, April 2023. | |
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E. Vatai, J. Domke, B. Gerofi, Y. Kodama, M. Wahib, A. Podobas, S. Mittal, M. Pericas, L. Zhang, P. Chen, A. Drozd, S. Matsuoka, "Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads," Poster presented at IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 26, Tokyo, Japan, April 2023. | |
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W.S. Moses, I.R. Ivanov, J. Domke, T. Endo, J. Doerfert, O. Zinenko, "High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs," in Proceedings of the 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP '23, (New York, NY, United States), Association for Computing Machinery, Feb. 2023. | |
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I.R. Ivanov, W.S. Moses, J. Domke, T. Endo, "Parallel Optimizations and Transformations of GPU Kernels Using a High-Level representation in MLIR/Polygeist," Poster presented at IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2023, Montreal, Canada, Feb. 2023. |
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W.S. Moses, I.R. Ivanov, J. Domke, T. Endo, J. Doerfert, O. Zinenko, "High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs," Poster presented at 2022 LLVM Developers' Meeting, San Jose, USA, Nov. 2022. | |
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S. Matsuoka, J. Domke, "Life after Fugaku—What Have We Learned and How Do We Proceed as the End of Moore's Law Approaches?," in SIAM News (not peer-reviewed), Society for Industrial and Applied Mathematics, Sept. 2022. | |
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T.N. Truong, F. Trahay, J. Domke, A. Drozd, E. Vatai, J. Liao, M. Wahib, B. Gerofi, "Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning," in Proceedings of the 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Lyon, France), IEEE Computer Society, May 2022. | |
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S. Matsuoka, J. Domke, M. Wahib, A. Drozd, R. Bair, A.A. Chien, J.S. Vetter, J. Shalf, "Preparing for the Future—Rethinking Proxy Applications," in Computing in Science & Engineering (CiSE), vol. 24, no. 2, May 2022. | |
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I.R. Ivanov, J. Domke, T. Endo, "Automatic translation of CUDA code into high performance CPU code using LLVM IR transformations," Poster presented at The 4rd R-CCS International Symposium (RCCS-IS4), Kobe, Japan, Feb. 2022. |
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S. Farrell, M.Emani, J. Balma, L. Drescher, A. Drozd, A. Fink, G. Fox, D. Kanter, T. Kurth, P. Mattson, D. Mu, A. Ruhela, K. Sato, K. Shirahata, T. Tabaru, A. Tsaris, J. Balewski, B. Cumming, T. Danjo, J. Domke, T. Fukai, N. Fukumoto, T. Fukushi, B. Gerofi, T. Honda, T. Imamura, A. Kasagi, K. Kawakami, S. Kudo, A. Kuroda, M. Martinasso, S. Matsuoka, H. Mendonça, K. Minami, P. Ram, T. Sawada, M. Shankar, T.S. John, A. Tabuchi, V. Vishwanath, M. Wahib, M. Yamazaki, J. Yin, "MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems," in Proceedings of the 7th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC@SC'21) 2021, St. Louis, MO, USA, November 15, 2021. | |
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J. Domke, "A64FX – Your Compiler You Must Decide!," in Proceedings of the 2021 IEEE International Conference on Cluster Computing (CLUSTER), EAHPC Workshop, (Portland, Oregon, USA), IEEE Computer Society, Sept. 2021. | |
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J. Domke, E. Vatai, A. Drozd, P. Chen, Y. Oyama, L. Zhang, S. Salaria, D. Mukunoki, A. Podobas, M. Wahib, S. Matsuoka, "Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?," in Proceedings of the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Portland, Oregon, USA), IEEE Computer Society, May 2021. | |
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M. Besta, J. Domke, M. Schneider, M. Konieczny, S.D. Girolamo, T. Schneider, A. Singla, T. Hoefler, "High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers," IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 4, pp. 943-959, 2021. | |
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I.R. Ivanov, J. Domke, A. Nomura, T. Endo, "Improved failover for HPC interconnects through localised routing restoration," Poster presented at The 3rd R-CCS International Symposium (RCCS-IS3), Kobe, Japan, Feb. 2021. |
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M. Wahib, H. Zhang, T.T. Nguyen, A. Drozd, J. Domke, L. Zhang, R. Takano, S. Matsuoka, "Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’20, (Piscataway, NJ, USA), IEEE Press, Nov. 2020. | |
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T. Dey, K. Sato, B. Nicolae, J. Guo, J. Domke, W. Yu, F. Cappello, K. Mohror, "Optimizing Asynchronous Multi-level Checkpoint/Restart Configurations with Machine Learning," in Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2020. (co-located with 34th IEEE IPDPS) | |
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K. Sato, A. Kuroda, K. Minami, J. Domke, A. Drozd, M. Wahib, S. Kudo, T. Imamura, K. Kumahata, K. Nitadori, K. Ando, S. Matsuoka, "DL4Fugaku: Deep learning for Fugaku – Scalability Performance Extrapolation," Poster presented at The 2nd R-CCS International Symposium (RCCS-IS2), Kobe, Japan, Feb. 2020. | |
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J. Domke, K. Sato, M. Kondo, "Counter-based Performance Extrapolation Toolchain – How far can we look into the Future?," Poster presented at The 2nd R-CCS International Symposium (RCCS-IS2), Kobe, Japan, Feb. 2020. |
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J. Domke, S. Matsuoka, I.R. Ivanov, Y. Tsushima, T. Yuki, A. Nomura, S. Miura, N. McDonald, D.L. Floyd, N. Dube, "HyperX Topology: First at-scale Implementation and Comparison to the Fat-Tree," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’19, (Piscataway, NJ, USA), IEEE Press, Nov. 2019. | |
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R. Roy, K. Sato, J. Guo, J. Domke, W. Yu, T. Hatsui, Y. Joti, "Improving Data Compression with Deep Predictive Neural Network for Time Evolutional Data," Poster presented at the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’19, (Piscataway, NJ, USA), IEEE Press, Nov. 2019. | |
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T. Dey, K. Sato, J. Guo, B. Nicolae, J. Domke, W. Yu, F. Cappello, K. Mohror, "Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning," Poster presented at the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’19, (Piscataway, NJ, USA), IEEE Press, Nov. 2019. | |
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J. Domke, S. Matsuoka, I.R. Ivanov, Y. Tsushima, T. Yuki, A. Nomura, S. Miura, N. McDonald, D.L. Floyd, N. Dube, "The First Supercomputer with HyperX Topology: A Viable Alternative to Fat-Trees?," peer-reviewed short paper presented at the 2019 IEEE 26th Symposium on High-Performance Interconnects (HOTI 26), Aug. 2019. | |
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J. Domke, K. Matsumura, M. Wahib, H. Zhang, K. Yashima, T. Tsuchikawa, Y. Tsuji, A. Podobas, S. Matsuoka, "Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?," in Proceedings of the 33th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Rio de Janeiro, Brazil), IEEE Computer Society, May 2019. |
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S. Smith, C. Cromey, D.K. Lowenthal, J. Domke, N. Jain, J.J. Thiagarajan, A. Bhatele, "Mitigating Inter-Job Interference Using Adaptive Flow-Aware Routing," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’18, (Piscataway, NJ, USA), IEEE Press, Nov. 2018. Best student paper finalist. | |
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H. Bhatia, N. Jain, A. Bhatele, Y. Livnat, J. Domke, V. Pascucci, and P.-T. Bremer, "Interactive Investigation of Traffic Congestion on Fat-Tree Networks Using TREESCOPE," Computer Graphics Forum, vol. 37, no. 3, pp. 561–572, 2018. |
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M. Mubarak, N. Jain, J. Domke, N. Wolfe, C. Ross, K. Li, A. Bhatele, C. D. Carothers, K. L. Ma, and R. B. Ross, "Toward Reliable Validation of HPC Interconnect Simulations," in Proceedings of the 2017 Winter Simulation Conference, WSC ’17, (Las Vegas, NV, USA), p. 15, IEEE Press, Dec. 2017. | |
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J. Domke "Routing on the Channel Dependency Graph: A New Approach to Deadlock-Free, Destination-Based, High-Performance Routing for Lossless Interconnection Networks," at Technische Universität Dresden, Dresden, Germany, June 2017. Dissertation. | |
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N. Wolfe, M. Mubarak, N. Jain, J. Domke, A. Bhatele, C. D. Carothers, and R. B. Ross, "Preliminary Performance Analysis of Multi-rail Fat-tree Networks," in 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid ’17, (Madrid, Spain), pp. 258–261, IEEE Press, May 2017. Short paper. |
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J. Domke and T. Hoefler, "Scheduling-Aware Routing for Supercomputers," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’16, (Piscataway, NJ, USA), pp. 13:1-13:12, IEEE Press, 2016. | |
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J. Domke, T. Hoefler, and S. Matsuoka, "Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing," in Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC ’16, (New York, NY, USA), pp. 3-14, ACM, 2016. | |
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D. Wang, J. Domke, J. Mao, X. Shi, and D. M. Ricciuto, "A scalable framework for the global offline community land model ensemble simulation," in International Journal of Computational Science and Engineering, vol. 12, pp. 73-85, Feb. 2016. |
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K. A. Brown, J. Domke, and S. Matsuoka, "Hardware-Centric Analysis of Network Performance for MPI Applications," in 21st IEEE International Conference on Parallel and Distributed Systems, ICPADS 2015, Melbourne, Australia, December 14-17, 2015, pp. 692-699, 2015. | |
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J. Domke, "Increasing Fabric Utilization with Job-Aware Routing," 2015. Poster presented at International Conference for High Performance Computing, Networking, Storage and Analysis (SC ’15). |
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K. A. Brown, J. Domke, and S. Matsuoka, "Tracing Data Movements within MPI Collectives," Poster presented at 21st European MPI Users' Group Meeting (EuroMPI/ASIA ’14). | |
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J. Domke, T. Hoefler, and S. Matsuoka, "Fail-in-place Network Design: Interaction Between Topology, Routing Algorithm and Failures," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’14, (Piscataway, NJ, USA), pp. 597-608, IEEE Press, 2014. |
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J. Domke and D. Wang, "Runtime Tracing of the Community Earth System Model: Feasibility Study and Benefits," Procedia Computer Science, vol. 9, pp. 1950-1958, 2012. Proceedings of the International Conference on Computational Science, ICCS 2012. | |
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R. Graham, O. Hernandez, C. Kartsaklis, J. Ladd, J. Domke, J.-C. Vasnier, S. Bihan, and G.-E. Moulard, "Third Party Tools for Titan," in Proceedings of the Cray User Group Meeting (CUG 2012), Stuttgart, Germany, Apr. 2012. Unrefereed Manuscript. | |
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J. Domke, T. Hoefler, and W. E. Nagel, "Deadlock-Free Oblivious Routing for Arbitrary Topologies," in Proceedings of the 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS), (Washington, DC, USA), pp. 613-624, IEEE Computer Society, May 2011. | |
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J. Mueller, T. Schneider, J. Domke, R. Geyer, M. Haesing, T. Hoefler, S. Hoehlig, G. Juckeland, A. Lumsdaine, M. Mueller, and W. Nagel, "Cluster Challenge 2008: Optimizing Cluster Configuration and Applications to Maximize Power Efficiency," in Proceedings of the 10th LCI International Conference on High-Performance Clustered Computing, Mar. 2009. LCI’09 2nd Best Paper Award. |
Invited Talks
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J. Domke "Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads -- Our insights after half a year of gem5 simulations" at CASUS - Center for Advanced Systems Understanding, Germany, Jan. 2024. | |
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J. Domke "At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads" in High Performance, Edge And Cloud (HiPEAC 2024), Jan. 2024. |
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J. Domke "Scientific Benchmarking" in EU-ASEAN High-Performance Computing (HPC) School, Dec. 2023. | |
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J. Domke "Advanced Architecture "Playgrounds" Past Lessons and Future Accesses of Testbeds ... an update by RIKEN R-CCS" in Birds of a Feather (BoF) at International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23), Nov. 2023. | |
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J. Domke "Do Benchmarks lead to over-engineered Systems?" in Birds of a Feather (BoF) at International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23), Nov. 2023. | |
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J. Domke "At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads" in ,Modeling & Simulation Seminar and Hackathon - Japan 2023, Oct. 2023. | |
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J. Domke "At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads" in The 253rd R-CCS Cafe, Oct. 2023. | |
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J. Domke "Performance Portability at Extreme Scale: A Dream or Reality? Ferraris can't swim: A Case against Performance Portability (...for now)" in Focus Session at ISC High Performance 2023, May. 2023. |
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J. Domke "Scientific Benchmarking" in EU-ASEAN High-Performance Computing (HPC) School 2022 (EU-ASEAN HPC School), Dec. 2022. | |
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J. Domke "The Road to Hell is paved with good Proxy-Apps...can Octopodes help save us?" in International Conference for High Performance Computing, Networking, Storage and Analysis (SC '22), Nov. 2022. | |
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J. Domke "From static, one-off System Evaluation to Continuous Benchmarking ... and let's retire HPL" in International Conference for High Performance Computing, Networking, Storage and Analysis (SC '22), Nov. 2022. | |
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J. Domke "LARC: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache" in Kaust/TokyoTech/RIKEN Seminar, Oct. 2022. | |
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J. Domke "Octopodes A candidate to replace Mini Apps and Motifs?" in 14th JLESC Workshop, Sept. 2022. | |
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J. Domke "LARC: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache" in NHR PerfLab Seminar, Sept. 2022. | |
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J. Domke "Panel: Computing at Extreme Scales" in Workshop on Modeling & Simulation of Systems and Applications (ModSim 2022), Aug. 2022. | |
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J. Domke "Co-design with Proxy-Apps: A match made in heaven?" in Workshop on Software Co-Design Actions in European Flagship HPC Codes at ISC High Performance: International Conference on High Performance Computing (ISC ’22), June 2022. | |
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J. Domke "Working with Proxy-Applications: Interesting Findings, Lessons Learned, and Future Directions" in Measuring the Effective Performance of High-Performance Computer Systems (workshop) at ISC High Performance: International Conference on High Performance Computing (ISC ’22), June 2022. | |
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J. Domke "Working with Proxy-Applications: Interesting Findings, Lessons Learned, and Future Directions" in HPC Solutions Forum in 37th ISC High Performance (ISC ’22), May 2022. | |
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J. Domke "Working with Proxy-Applications: Interesting Findings, Lessons Learned, and Future Directions" in Benchmarking in the Data Center: Expanding to the Cloud (workshop) held in conjunction with PPoPP 2022: Principles and Practice of Parallel Programming 2022, April 2022. | |
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J. Domke "MocCUDA: Running Cuda Codes on Fugaku" in SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP ’22), Seattle, Washington, USA, Feb. 2022. |
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J. Domke "The Bright Future for HPC Interconnects -- Opportunities, Challenges, and Misconceptions in Deployment and Management of Large-Scale Networks" in Focus Session: Leveraging Silicon Photonics in HPC to Meet Future Exascale Needs in 36th ISC High Performance (ISC ’21), June 2021. | |
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J. Domke "Performance Predictions using Machine Code Analyzers" in ASTAR IHPC ACRC-Riken-CREST Deep workshop (AIARC-WS'21), May 2021. | |
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J. Domke "Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?" in CREST Depp Meeting, April 2021. | |
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J. Domke "Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?" in Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020 January), Jan. 2020. | |
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J. Domke "First At-Scale HyperX Implementation: A Compelling Alternative to Fat-Trees?" in High Performance Consortium for Advanced Scientific and Technical Computing (HP-CAST 32), June 2019. | |
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N. McDonald, J. Domke "Hyper-X and Next Generation Routing Engines" in High Performance Consortium for Advanced Scientific and Technical Computing (HP-CAST 31), Nov. 2018. | |
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J. Domke "Exploring alternative Designs for HPC Interconnects and HPC Processors" in ZIH Colloquium (TU Dresden), Oct. 2018. | |
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J. Domke "To float or not to float... How much FP64 performance do we really need?" in Workshop on Modeling & Simulation of Systems and Applications (ModSim 2018), Aug. 2018. | |
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N. McDonald, J. Domke "HyperX and the Gen-Z optical Interconnect" in High Performance Consortium for Advanced Scientific and Technical Computing (HP-CAST 30), June 2018. | |
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J. Domke "Routing on the Channel Dependency Graph" in 18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP ’18), Tokyo, Japan, Mar. 2018. | |
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J. Domke "Results from TSUBAME3.0 — A 47 AI-PFLOPS System for HPC & AI Convergence" at Omni-Path User Group (OPUG) BoF at SC ’17, Denver, Colorado, USA, Nov. 2017. (repl. for Prof Matsuoka) | |
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J. Domke "Existing De-Facto Standards for Interconnects: InfiniBand, GigE & OmniPath" in 32th ISC High Performance (ISC ’17), Frankfurt, Germany, June 2017. |
Academic Duties
Architecture & Networks track at International Conference for High Performance Computing, Networking, Storage and Analysis, SC '24 (Conference (Co-)chair) | |
The 3rd R-CCS International Symposium (RCCS-IS3 (Poster (Co-)chair) | |
28th International Workshop on High-level Parallel Programming Models and Supportive Environments (HIPS 2023 at IPDPS) (Workshop (Co-)chair) | |
Benchmarking in the Data Center: Expanding to the Cloud (BID'24 at ICPE 2024) (Workshop (Co-)chair) | |
Benchmarking in the Data Center: Expanding to the Cloud (BID'23 at PPoPP) (Workshop (Co-)chair) | |
12th Accelerated Data Analytics and Computing Institute Workshop (ADAC12) (Workshop (Co-)chair) | |
2nd International Workshop on Legacy Software Refactoring for Performance (REFAC'20) (Workshop (Co-)chair) | |
1st International Workshop on Legacy Software Refactoring for Performance (REFAC'19) (Workshop (Co-)chair) | |
Minisymposium at the 18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP'18): "Applied Graph Theory in Interconnection Network Design and Operation" (Workshop (Co-)chair) |
"General Volunteer" program at International Conference for High Performance Computing, Networking, Storage and Analysis, SC '24 | |
International Conference for High Performance Computing, Networking, Storage and Analysis, SC '23 | |
International Conference for High Performance Computing, Networking, Storage and Analysis, SC '21 | |
ACM International Conference on Supercomputing (ICS) 2024 | |
IEEE International Conference on Cluster Computing (CLUSTER) 2024 | |
IEEE International Conference on High Performance Computing, Data and Analytics (HiPC), 2023 | |
23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2023) | |
32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC '23) | |
31st International Symposium on High-Performance Parallel and Distributed Computing (HPDC '22) | |
38th IEEE International Parallel & Distributed Processing Symposium (IPDPS'24) | |
37th IEEE International Parallel & Distributed Processing Symposium (IPDPS'23) | |
36th IEEE International Parallel & Distributed Processing Symposium (IPDPS'22) | |
First International Workshop on HPC Testing and Evaluation of Systems, Tools, and Software (HPCTESTS 2023) | |
International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2020) | |
Third International Workshop on Coarse-Grained Reconfigurable Architectures for High-Performance Computing (CGRA4HPC'24) | |
Second International Workshop on Coarse-Grained Reconfigurable Architectures for High-Performance Computing (CGRA4HPC'23) | |
International Workshop on Arm-based HPC: Practice and Experience (IWAHPCE2024) | |
International Workshop on Arm-based HPC: Practice and Experience (IWAHPCE2023) | |
EAHPC-2022 - Embracing Arm (IEEE Cluster 2022 Workshop) | |
EAHPC-2021 - Embracing Arm (IEEE Cluster 2021 Workshop) | |
EAHPC-2020 - Embracing Arm (IEEE Cluster 2020 Workshop) | |
3rd R-CCS International Symposium (RCCS-IS3, 2021) | |
2nd R-CCS International Symposium (RCCS-IS2, 2020) | |
19th Annual OpenFabrics Alliance Workshop (OFA Workshop 2023) | |
18th Annual OpenFabrics Alliance Workshop (OFA Workshop 2022) | |
17th Annual OpenFabrics Alliance Workshop (OFA Workshop 2021) | |
16th Annual OpenFabrics Alliance Workshop (OFA Workshop 2020) | |
15th Annual OpenFabrics Alliance Workshop (OFA Workshop 2019) | |
14th Annual OpenFabrics Alliance Workshop (OFA Workshop 2018) | |
5th IEEE International Workshop of High-Perfomance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB 2019) | |
4th IEEE International Workshop of High-Perfomance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB 2018) | |
51th International Conference on Parallel Processing (ICPP 2022) | |
46th International Conference on Parallel Processing (ICPP 2017) |
Office of Advanced Scientific Computing Research (ASCR), Department of Energy Office of Science | |
Computing (COMP) | |
IEEE Micro | |
IEEE Transactions on Computers (TC) | |
IEEE Transactions on Parallel and Distributed Systems (TPDS) | |
IEEE Transactions on Network and Service Management | |
Data in Brief (DIB) | |
Journal of King Saud University - Computer and Information Sciences (JKSU-CIS) | |
Journal of Parallel and Distributed Computing (JPDC) | |
Parallel Computing (PARCO) | |
Institute of Electronics, Information and Communication Engineers (IEICE) | |
ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) | |
IEEE International Conference on Parallel and Distributed Systems (ICPADS) | |
IEEE International Parallel & Distributed Processing Symposium (IPDPS) | |
IFIP International Conference on Network and Parallel Computing (NPC) | |
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | |
International Conference on Supercomputing (ICS) | |
International European Conference on Parallel and Distributed Computing (Euro-Par) |
For established Researchers and Postdocs
[Click here for our Job Postings] The Supercomputing Performance Research Team conducts performance studies of traditional HPC architectures and software subsystems such as processors, networks, memory, accelerators, and storage; and the team investigates non-traditional hardware, such as neuromorphic chips, optical processors, and quantum computing devices to analyze their applicability to speed up supercomputing workloads. The team’s mission is to improve the performance, efficiency, and usability of Fugaku and upcoming supercomputers by data-driven co-design.
The scientist will join a vibrant team and top-class HPC institute to collaborate with other computer science and domain science teams to conduct research on HPC performance, such as performance modeling, simulation, prediction, and monitoring, in order to enhance the community’s understanding of cutting-edge and future supercomputers as well as applications running on these systems. Furthermore, the scientist will be in charge of benchmark design and preservation of existing benchmark suites to conduct short-term analysis of various systems and long-term tracking of performance trends.
[Click here for SPDR Program] There is a pressing need to make the most of creative and basic research potential if we are to pioneer new frontiers in science and technology on a global scale. And for this our greatest hope lies with the work of talented and free-thinking young scientists. RIKEN's program for Special Postdoctoral Researchers (SPDR) was instituted to provide young and creative scientists the opportunity to be involved in autonomous and independent research that is in line with RIKEN objectives and research fields.
Join our team as Student / Intern
RIKEN Internship options for Internation and Domestic Students (contact me for more information):
- RIKEN R-CCS Internship Program (short-term) for undergraduate & graduate students of Japanese universities [details]
- International Program Associate (long-term) for PhD students enrolled in partnering universities[details]
- Junior Research Associate Program (long-term) for PhD students enrolled in Japanese universities[details]
- RIKEN International HPC Spring School 2024 - Toward Society 5.0 (3-days intensive training and networking) [details]
- ...above categories don't fit? Then contact me and we find a solution!
Current and previous Students
(Co-)Supervisor for PhD Thesis:
- I.R. Ivanov, RIKEN Junior Research Associate (JRA), 2023–
(Co-)Supervisor for Master's Thesis:
- I.R. Ivanov, 2023, Tokyo Tech, "Optimizations and Transformations of Parallel Code via High Level Intermediate Representation"
- K.A. Brown, 2014, Tokyo Tech, "Identifying Network Bottlenecks within MPI Collectives"
(Co-)Supervisor for Bachelor's Thesis:
- N. Blach, 2021, ETH Zürich, "Multipath Routing for Low-Diameter Network Topologies on InfiniBand Architecture"
- I.R. Ivanov, 2021, Tokyo Tech, "Improved failover for HPC interconnects through localised routing restoration"
- J. Bokstaller, 2019, ETH Zürich, "Design and Implementation of Multipath Switching in InfiniBand Slimfly Networks"
RIKEN Internship Students:
- I.R. Ivanov, 2020–2023
- K. Sugihara, 2020
- T. Day & R. Roy, 2019
Teaching at TU Dresden (discontinued)
Courses in Winter Semester 2016/2017: Ø
Courses in summer semester 2016:
- Rechnerarchitektur II (Exercises)
- Theorie und Einsatz von Verbindungseinrichtungen in parallelen Rechnersystemen
- More lectures of the Chair for Computer Architecture
Courses in Winter Semester 2015/2016: Ø
Courses in summer semester 2015:
- Rechnerarchitektur II (Exercises)
- Theorie und Einsatz von Verbindungseinrichtungen in parallelen Rechnersystemen
Courses in Winter Semester 2014/2015: Ø
About Me
Jens Domke is the Team Leader of the Supercomputing Performance Research Team at the RIKEN Center for Computational Science (R-CCS), Japan. He received his doctoral degree from the Technische Universität Dresden, Germany, in 2017 for his work on HPC routing algorithms and interconnects. Jens started his career in HPC in 2008, after he and a team of five students of the TU Dresden and Indiana University, won the Student Cluster Competition at SC08. Since then, he published dozens of peer-reviewed journal and conference articles. Jens contributed the DFSSSP and Nue routing algorithms to the subnet manager of InfiniBand, and built the first large-scale HyperX prototype at the Tokyo Institute of Technology. His research interests include system co-design, performance evaluation, extrapolation, and modelling, interconnect networks, and optimization of parallel applications and architectures.