[{"file_date_updated":"2018-03-14T13:47:44Z","ddc":["040"],"user_id":"25078","department":[{"_id":"64"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"13","name":"SFB 901 - Subprojekt C1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"Securing the Financial Cloud","_id":"43"}],"_id":"659","file":[{"date_updated":"2018-03-14T13:47:44Z","creator":"florida","date_created":"2018-03-14T13:47:44Z","file_size":1795920,"file_id":"1218","access_level":"closed","file_name":"659-MA_Fault_attacks_in_pairing-based_cryptography_01.pdf","content_type":"application/pdf","success":1,"relation":"main_file"}],"status":"public","type":"mastersthesis","title":"Fault attacks in pairing-based cryptography","supervisor":[{"first_name":"Johannes","full_name":"Blömer, Johannes","id":"23","last_name":"Blömer"}],"author":[{"full_name":"Liske, Gennadij","last_name":"Liske","first_name":"Gennadij"}],"date_created":"2017-10-17T12:43:00Z","publisher":"Universität Paderborn","date_updated":"2022-01-06T07:03:13Z","citation":{"mla":"Liske, Gennadij. <i>Fault Attacks in Pairing-Based Cryptography</i>. Universität Paderborn, 2011.","short":"G. Liske, Fault Attacks in Pairing-Based Cryptography, Universität Paderborn, 2011.","bibtex":"@book{Liske_2011, title={Fault attacks in pairing-based cryptography}, publisher={Universität Paderborn}, author={Liske, Gennadij}, year={2011} }","apa":"Liske, G. (2011). <i>Fault attacks in pairing-based cryptography</i>. Universität Paderborn.","ama":"Liske G. <i>Fault Attacks in Pairing-Based Cryptography</i>. Universität Paderborn; 2011.","chicago":"Liske, Gennadij. <i>Fault Attacks in Pairing-Based Cryptography</i>. Universität Paderborn, 2011.","ieee":"G. Liske, <i>Fault attacks in pairing-based cryptography</i>. Universität Paderborn, 2011."},"year":"2011","has_accepted_license":"1"},{"doi":"10.1007/978-3-642-31500-8_4","title":"An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment","author":[{"first_name":"Joachim","full_name":"Gehweiler, Joachim","last_name":"Gehweiler"},{"last_name":"Kling","full_name":"Kling, Peter","first_name":"Peter"},{"first_name":"Friedhelm","last_name":"Meyer auf der Heide","id":"15523","full_name":"Meyer auf der Heide, Friedhelm"}],"date_created":"2017-10-17T12:43:01Z","date_updated":"2022-01-06T07:03:14Z","page":"31--40","citation":{"ama":"Gehweiler J, Kling P, Meyer auf der Heide F. An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment. In: <i>Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)</i>. LNCS. ; 2011:31--40. doi:<a href=\"https://doi.org/10.1007/978-3-642-31500-8_4\">10.1007/978-3-642-31500-8_4</a>","ieee":"J. Gehweiler, P. Kling, and F. Meyer auf der Heide, “An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment,” in <i>Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)</i>, 2011, pp. 31--40.","chicago":"Gehweiler, Joachim, Peter Kling, and Friedhelm Meyer auf der Heide. “An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment.” In <i>Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)</i>, 31--40. LNCS, 2011. <a href=\"https://doi.org/10.1007/978-3-642-31500-8_4\">https://doi.org/10.1007/978-3-642-31500-8_4</a>.","apa":"Gehweiler, J., Kling, P., &#38; Meyer auf der Heide, F. (2011). An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment. In <i>Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)</i> (pp. 31--40). <a href=\"https://doi.org/10.1007/978-3-642-31500-8_4\">https://doi.org/10.1007/978-3-642-31500-8_4</a>","mla":"Gehweiler, Joachim, et al. “An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment.” <i>Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)</i>, 2011, pp. 31--40, doi:<a href=\"https://doi.org/10.1007/978-3-642-31500-8_4\">10.1007/978-3-642-31500-8_4</a>.","bibtex":"@inproceedings{Gehweiler_Kling_Meyer auf der Heide_2011, series={LNCS}, title={An Experimental Comparison of Load Balancing Strategies in a Web Computing Environment}, DOI={<a href=\"https://doi.org/10.1007/978-3-642-31500-8_4\">10.1007/978-3-642-31500-8_4</a>}, booktitle={Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)}, author={Gehweiler, Joachim and Kling, Peter and Meyer auf der Heide, Friedhelm}, year={2011}, pages={31--40}, collection={LNCS} }","short":"J. Gehweiler, P. Kling, F. Meyer auf der Heide, in: Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM), 2011, pp. 31--40."},"year":"2011","has_accepted_license":"1","file_date_updated":"2018-03-14T13:45:57Z","ddc":["040"],"department":[{"_id":"63"}],"user_id":"15504","series_title":"LNCS","_id":"664","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt C4","_id":"16"},{"name":"SFB 901 - Subproject C2","_id":"14"},{"_id":"4","name":"SFB 901 - Project Area C"}],"status":"public","file":[{"content_type":"application/pdf","relation":"main_file","success":1,"creator":"florida","date_created":"2018-03-14T13:45:57Z","date_updated":"2018-03-14T13:45:57Z","file_name":"664-PPAM11GKM_01.pdf","access_level":"closed","file_id":"1216","file_size":333335}],"abstract":[{"lang":"eng","text":"Web Computing is a variant of parallel computing where the idle times of PCs donated by worldwide distributed users are employed to execute parallel programs. The PUB-Web library developed by us supports this kind of usage of computing resources. A major problem for the efficient execution of such parallel programs is load balancing. In the Web Computing context, this problem becomes more difficult because of the dynamic behavior of the underlying \"parallel computer\": the set of available processors (donated PCs) as well as their availability (idle times) change over time in an unpredictable fashion.In this paper, we experimentally evaluate and compare load balancing algorithms in this scenario, namely a variant of the well-established Work Stealing algorithm and strategies based on a heterogeneous version of distributed hash-tables (DHHTs) introduced recently. In order to run a meaningful experimental evaluation, we employ, in addition to our Web Computing library PUB-Web, realistic data sets for the job input streams and for the dynamics of the availability of the resources.Our experimental evaluations suggest that Work Stealing is the better strategy if the number of processes ready to run matches the number of available processors. But a suitable variant of DHHTs outperforms Work Stealing if there are significantly more processes ready to run than available processors."}],"publication":"Proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics (PPAM)","type":"conference"},{"author":[{"first_name":"Markus","full_name":"Happe, Markus","last_name":"Happe"},{"last_name":"Agne","full_name":"Agne, Andreas","first_name":"Andreas"},{"first_name":"Christian","orcid":"0000-0001-5728-9982","last_name":"Plessl","id":"16153","full_name":"Plessl, Christian"}],"date_created":"2017-10-17T12:42:59Z","publisher":"IEEE","date_updated":"2023-09-26T13:46:08Z","doi":"10.1109/ReConFig.2011.59","title":"Measuring and Predicting Temperature Distributions on FPGAs at Run-Time","quality_controlled":"1","has_accepted_license":"1","citation":{"apa":"Happe, M., Agne, A., &#38; Plessl, C. (2011). Measuring and Predicting Temperature Distributions on FPGAs at Run-Time. <i>Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)</i>, 55–60. <a href=\"https://doi.org/10.1109/ReConFig.2011.59\">https://doi.org/10.1109/ReConFig.2011.59</a>","mla":"Happe, Markus, et al. “Measuring and Predicting Temperature Distributions on FPGAs at Run-Time.” <i>Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)</i>, IEEE, 2011, pp. 55–60, doi:<a href=\"https://doi.org/10.1109/ReConFig.2011.59\">10.1109/ReConFig.2011.59</a>.","short":"M. Happe, A. Agne, C. Plessl, in: Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig), IEEE, 2011, pp. 55–60.","bibtex":"@inproceedings{Happe_Agne_Plessl_2011, title={Measuring and Predicting Temperature Distributions on FPGAs at Run-Time}, DOI={<a href=\"https://doi.org/10.1109/ReConFig.2011.59\">10.1109/ReConFig.2011.59</a>}, booktitle={Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)}, publisher={IEEE}, author={Happe, Markus and Agne, Andreas and Plessl, Christian}, year={2011}, pages={55–60} }","ieee":"M. Happe, A. Agne, and C. Plessl, “Measuring and Predicting Temperature Distributions on FPGAs at Run-Time,” in <i>Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)</i>, 2011, pp. 55–60, doi: <a href=\"https://doi.org/10.1109/ReConFig.2011.59\">10.1109/ReConFig.2011.59</a>.","chicago":"Happe, Markus, Andreas Agne, and Christian Plessl. “Measuring and Predicting Temperature Distributions on FPGAs at Run-Time.” In <i>Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)</i>, 55–60. IEEE, 2011. <a href=\"https://doi.org/10.1109/ReConFig.2011.59\">https://doi.org/10.1109/ReConFig.2011.59</a>.","ama":"Happe M, Agne A, Plessl C. Measuring and Predicting Temperature Distributions on FPGAs at Run-Time. In: <i>Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)</i>. IEEE; 2011:55-60. doi:<a href=\"https://doi.org/10.1109/ReConFig.2011.59\">10.1109/ReConFig.2011.59</a>"},"page":"55-60","year":"2011","user_id":"15278","department":[{"_id":"27"},{"_id":"518"},{"_id":"78"}],"project":[{"_id":"1","name":"SFB 901","grant_number":"160364472"},{"_id":"14","name":"SFB 901 - Subprojekt C2","grant_number":"160364472"},{"name":"SFB 901 - Project Area C","_id":"4"},{"grant_number":"257906","_id":"31","name":"Engineering Proprioception in Computing Systems"}],"_id":"656","file_date_updated":"2018-03-14T13:49:39Z","language":[{"iso":"eng"}],"ddc":["040"],"type":"conference","publication":"Proceedings of the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig)","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":502244,"file_id":"1220","file_name":"656-2011_happe_reconfig.pdf","access_level":"closed","date_updated":"2018-03-14T13:49:39Z","creator":"florida","date_created":"2018-03-14T13:49:39Z"}],"status":"public","abstract":[{"lang":"eng","text":"In the next decades, hybrid multi-cores will be the predominant architecture for reconfigurable FPGA-based systems. Temperature-aware thread mapping strategies are key for providing dependability in such systems. These strategies rely on measuring the temperature distribution and redicting the thermal behavior of the system when there are changes to the hardware and software running on the FPGA. While there are a number of tools that use thermal models to predict temperature distributions at design time, these tools lack the flexibility to autonomously adjust to changing FPGA configurations. To address this problem we propose a temperature-aware system that empowers FPGA-based reconfigurable multi-cores to autonomously predict the on-chip temperature distribution for pro-active thread remapping. Our system obtains temperature measurements through a self-calibrating grid of sensors and uses area constrained heat-generating circuits in order to generate spatial and temporal temperature gradients. The generated temperature variations are then used to learn the free parameters of the system's thermal model. The system thus acquires an understanding of its own thermal characteristics. We implemented an FPGA system containing a net of 144 temperature sensors on a Xilinx Virtex-6 LX240T FPGA that is aware of its thermal model. Finally, we show that the temperature predictions vary less than 0.72 degree C on average compared to the measured temperature distributions at run-time."}]}]