The following articles have been published as part of the READEX project:
- A. Gocht, R. Schöne, M. Bielert, “Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC”, The 5th International Workshop on Autonomic High Performance Computing (AHPC 2019), 2019.
arXiv:1906.10970
[Download][OpenAIRE] - R. Schöne, T. Ilsche, M. Bielert, A. Gocht, D. Hackenberg, “Energy Efficiency Features of the Intel Skylake-SP Processor and Their Impact on Performance”, accepted for publication at the HPCS 2019 Special Session HPBench, 2019.
[Download accepted version][OpenAIRE] - A. Gocht, C. Lehmann, R. Schöne, “A New Approach for Automated Feature Selection”, IEEE International Conference on Big Data, 2018.
doi: 10.1109/BigData.2018.8622548
[Download][OpenAIRE] - M. Kumaraswamy, M. Gernd, “Leveraging Inter-Phase Application Dynamism for Energy-Efficiency Auto-tuning”, PDPTA’18: The 24th International Conference on Parallel and Distributed Processing Techniques and Applications, 2018.
[OpenAIRE] - N. Reissmann and A. Muddukrishna, “Diagnosing Highly-Parallel OpenMP Programs with Aggregated Grain Graphs”, accepted for publication at the 24th International European Conference on Parallel and Distributed Computing, Euro-Par, 2018
doi: 10.1007/978-3-319-96983-1_8
[OpenAIRE] - P.G. Kjeldsberg, R. Schöne, M. Gerndt, L. Říha, V. Kannan, K. Diethelm, M-C. Sawley, J.Zapletal, O. Vysocký, M.Kumaraswamy, and W.E. Nagel, “Runtime Exploitation of Application Dynamism for Energy-efficient Exascale Computing”, book chapter in System Scenario-based Design Principles and Applications (editors: F. Catthoor, N. Zompakis, M. Geilen, T. Basten, and P.G. Kjeldsberg), Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland, in preparation for printing.
- P.G. Kjeldsberg, “READEX gjør dynamiske HPC-applikasjoner energieffektive”, Elektronikk, nr. 10, October 2018, (“READEX makes HPC applications energy efficient”, accepted for publication in the Norwegian trade magazine Elektronikk, No. 10, 2018).
[read online] - L. Říha, M. Merta, R. Vavrik, T. Brzobohaty, A. Markopoulos, O. Meca, O. Vysocký, T. Kozubek, V. Vondrak, “A massively parallel and memory efficient FEM toolbox with A Hybrid Total FETI solver with accelerator support”, IJHPCA, 2018 (accepted).
doi: 10.1177/1094342018798452
[OpenAIRE] - V. Nikl, O. Vysocký, L. Říha, J. Zapletal, “Optimal Hardware Parameters Prediction for Best Energy-to-Solution of Sparse Matrix Operations Using Machine Learning Techniques”, INFOCOMP 2018 (ECO-PAR special track), Barcelona, 2018.
[Download] - O. Vysocký, J. Zapletal, L. Říha, “A Simple Framework for Energy Efficiency Evaluation and Hardware Parameter Tuning with Modular Support for Different HPC Platforms”, INFOCOMP 2018 (ECO-PAR special track), Barcelona, 2018.
[Download] - O. Vysocký, J. Zapletal, M. Beseda, L. Říha, V. Nikl, M. Lysaght, V. Kannan, “MERIC and RADAR generator: tools for energy evaluation and runtime tuning of HPC applications”, HPCSE 2017, Solan, Czech Republic, 2018.
doi: 10.1007/978-3-319-97136-0_11
[Download][OpenAIRE] - T. Ilsche, R. Schöne, P. Joram, M. Bielert, A. Gocht, “System Monitoring with lo2s: Power and Runtime Impact of C-State Transitions”, Proceedings of the IEEE Workshop on High-Performance Power-Aware Computing, 2018 (accepted).
doi:
[OpenAIRE] - M. Kumaraswamy, A. Chowdhury, M. Gerndt, “Design-time Analysis for the READEX Tool Suite” In Volume 32: Parallel Computing is Everywhere, IOS Press, 2018.
doi:
[OpenAIRE] - O. Vysocký, M. Beseda, L. Riha, J. Zapletal, V. Nikl, M. Lysaght, V. Kannan, “Evaluation of the HPC Applications Dynamic Behavior in Terms of Energy Consumption”, in P. Iványi, B.H.V. Topping, G. Várady, (Editors), Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, Civil-Comp Press, Stirlingshire, UK, Paper 3, 2017.
doi: 10.4203/ccp.111.3
[OpenAIRE] - M. Sourouri, E.B. Raknes, N. Reissmann, J. Langguth, D. Hackenberg, R. Schöne, P.G. Kjeldsberg, “Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures”, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2017.
doi: 10.1145/3126908.3126945
[Download] [OpenAIRE] - T. Ilsche, M. Hähnel, R. Schöne, M. Bielert, D. Hackenberg, “Powernightmares: The challenge of efficiently using sleep states on multi-core systems”, European Conference on Parallel Processing, 2017
doi: 10.1007/978-3-319-75178-8_50
[Download][OpenAIRE] - T. Ilsche, R. Schöne, M. Bielert, A. Gocht, D. Hackenberg, “lo2s—Multi-core System and Application Performance Analysis for Linux”, 2017 IEEE International Conference on Cluster Computing (CLUSTER).
doi: 10.1109/CLUSTER.2017.116
[Download][OpenAIRE] - A. Chowdhury, M. Kumaraswamy, M. Gerndt, Z. Bendifallah, O. Bouizi, L. Řı́ha, O. Vysocký, M. Beseda, J. Zapletal, “Domain Knowledge Specification for Energy Tuning”, 2nd Workshop on Power-Aware Computing (PACO), Ringberg Castle, Kreuth, Germany, 2017.
doi: 10.5281/zenodo.815852
[Download][OpenAIRE] - A. Chowdhury, M. Kumaraswamy, M. Gerndt, “READEX Tool Suite for Energy-efficiency Tuning of HPC Applications”, Proceedings of the Workshop on Software Engineering Methods for Parallel and High Performance Applications at HPDC (SEM4HPC), Washington D.C., United States, 2017.
doi: 10.1145/3085158.3091994
[Download][OpenAIRE] - D. Molka, R. Schöne, D. Hackenberg, and W. E. Nagel, “Detecting Memory-Boundedness with Hardware Performance Counters”, International Conference on Performance Engineering (ICPE), L’Aquila, Italy, 2017.
doi: 10.1145/3030207.3030223
[Download][OpenAIRE] - V. Kannan, L. Říha, M. Gerndt, A. Chowdhury, O. Vysocký, M. Beseda, D. Horák, R. Sojka, , and M. Lysaght, “Investigating and Exploiting Application Dynamism For Energy-Efficient Exascale Computing”, PRACE-4IP Whitepaper, 2017.
[Download][OpenAIRE] - P. G. Kjeldsberg, A. Gocht, M. Gerndt, L. Říha, J. Schuchart, and U. S. Mian, “READEX: Linking Two Ends of the Computing Continuum to Improve Energy-efficiency in Dynamic Applications”, Design, Automation and Test in Europe (DATE), Lausanne, Switzerland, 2017.
doi: 10.23919/DATE.2017.7926967
[Download][OpenAIRE] - R. Schöne, R. Tschüter, T. Ilsche, J. Schuchart, D. Hackenberg, and W. E. Nagel, “Extending the Functionality of Score-P through Plugins: Interfaces and Use Cases” In Tools for High Performance Computing 2016, Springer, 2017.
doi: 10.1007/978-3-319-56702-0_4
[Download][OpenAIRE] - M. Sourouri, E. B. Raknes, “Accelerating 3D Elastic Wave Equations on Knights Landing based Intel Xeon Phi processors”, European Geosciences Union General Assembly Extended Abstracts, 2017.
doi: [to be announced]
[Download] - J. Schuchart, M. Gerndt, P. G. Kjeldsberg, M. Lysaght, D. Horák, L. Říha, A. Gocht, M. Sourouri, M. Kumaraswamy, A. Chowdhury, M. Jahre, K. Diethelm, O. Bouizi, U. S. Mian, , R. Sojka, M. Beseda, V. Kannan, Z. Bendifallah, D. Hackenberg, and W. E. Nagel, “The READEX formalism for automatic tuning for energy efficiency”, Computing, 2017.
doi: 10.1007/s00607-016-0532-7
[Download][OpenAIRE] - R. Schöne, T. Ilsche, M. Bielert, D. Molka, and D. Hackenberg, “Software controlled clock modulation for energy efficiency optimization on Intel processors”, Proceedings of the 4th International Workshop on Energy Efficient Supercomputing (E2SC), Salt Lake City, UT, USA, 2016.
doi: 10.1109/E2SC.2016.015
[Download][OpenAIRE] - D. Horák, L. Říha, R. Sojka, and M. Beseda, “Energy consumption optimization of the Total-FETI solver and BLAS routines by changing the CPU frequency” International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria, 2016.
doi: 10.1109/HPCSim.2016.7568453
[Download] [OpenAIRE] - R. Sojka, L. Říha, D. Horák, , M. Beseda and M. Cermak, “The energy consumption optimization of the BLAS routines” Proceedings from ICNAAM conference, Rhodos, Greece, 2016.
doi:
[Download][OpenAIRE] - D. Horák, L. Říha, R. Sojka, , M. Beseda, M. Cermak and J. Schuchart, “Energy consumption optimization of the Total-FETI solver by changing the CPU frequency” Proceedings from ICNAAM conference, Rhodos, Greece, 2016.
doi:
[Download][OpenAIRE] - J. Lagravière, J. Langguth, M. Sourouri, P. H. Ha, X. Cai, “On the performance and energy efficiency of the PGAS programming model on multicore architectures” International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria, 2016.
doi: 10.1109/HPCSim.2016.7568416
[Download][OpenAIRE] - K. Diethelm, “Tools for assessing and optimizing the energy requirements of high performance scientific computing software” PAMM, Volume 16 Issue 1
doi: - V. Hapla, D. Horák, L. Pospisil, M. Cermak, A. Vasatova and R. Sojka, “Solving Contact Mechanics Problems with PERMON” High Performance Computing in Science and Engineering: Second International Conference, 2015.
doi: 10.1007/978-3-319-40361-8_7
[Download][OpenAIRE] - M. Gerndt, “The READEX Project for Dynamic Energy Efficiency Tuning” Workshop Proceedings of HPDC 2016, International Workshop on Software Engineering Methods for HPC (SEM4HPC), Kyoto, Japan, 2016.
doi: 10.1145/2916026.2916033
[Download][OpenAIRE] - A. Sikora, E. César, I. Compres, M. Gerndt, “Autotuning of MPI applications Using PTF” Workshop Proceedings of HPDC 2016, International Workshop on Software Engineering Methods for HPC (SEM4HPC), Kyoto, Japan, 2016.
doi: 10.1145/2916026.2916028
[Download][OpenAIRE] - Y. Oleynik, M. Gerndt, J. Schuchart, P. G. Kjeldsberg and W. E. Nagel, “Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX)” 18th IEEE International Conference on Computational Science and Engineering (CSE), Porto, Portugal, 2015, pp. 347-350.
doi: 10.1109/CSE.2015.55
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