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Revised Papers}, author={Birkenheuer, Georg and Brinkmann, Andre and Karl, Holger}, year={2009}, pages={80–100} }","mla":"Birkenheuer, Georg, et al. “The Gain of Overbooking.” Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers, 2009, pp. 80–100, doi:10.1007/978-3-642-04633-9_5.","apa":"Birkenheuer, G., Brinkmann, A., & Karl, H. (2009). The Gain of Overbooking. In Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers (pp. 80–100). https://doi.org/10.1007/978-3-642-04633-9_5","ama":"Birkenheuer G, Brinkmann A, Karl H. The Gain of Overbooking. In: Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers. ; 2009:80-100. doi:10.1007/978-3-642-04633-9_5","chicago":"Birkenheuer, Georg, Andre Brinkmann, and Holger Karl. “The Gain of Overbooking.” In Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers, 80–100, 2009. https://doi.org/10.1007/978-3-642-04633-9_5.","ieee":"G. Birkenheuer, A. Brinkmann, and H. Karl, “The Gain of Overbooking,” in Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers, 2009, pp. 80–100.","short":"G. Birkenheuer, A. Brinkmann, H. Karl, in: Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers, 2009, pp. 80–100."},"year":"2009","type":"conference","page":"80-100","user_id":"24135","title":"The Gain of Overbooking","author":[{"last_name":"Birkenheuer","first_name":"Georg","full_name":"Birkenheuer, Georg"},{"full_name":"Brinkmann, Andre","first_name":"Andre","last_name":"Brinkmann"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"department":[{"_id":"75"},{"_id":"27"}],"publication":"Job Scheduling Strategies for Parallel Processing, 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009. Revised Papers","status":"public","date_created":"2017-11-27T10:22:26Z"},{"type":"conference","citation":{"short":"T. Schumacher, C. Plessl, M. Platzner, in: Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE Computer Society, 2009, pp. 275–278.","ieee":"T. Schumacher, C. Plessl, and M. Platzner, “IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing,” in Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 2009, pp. 275–278, doi: 10.1109/FCCM.2009.25.","chicago":"Schumacher, Tobias, Christian Plessl, and Marco Platzner. “IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing.” In Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 275–78. IEEE Computer Society, 2009. https://doi.org/10.1109/FCCM.2009.25.","ama":"Schumacher T, Plessl C, Platzner M. IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing. In: Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM). IEEE Computer Society; 2009:275-278. doi:10.1109/FCCM.2009.25","apa":"Schumacher, T., Plessl, C., & Platzner, M. (2009). IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing. Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), 275–278. https://doi.org/10.1109/FCCM.2009.25","mla":"Schumacher, Tobias, et al. “IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing.” Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM), IEEE Computer Society, 2009, pp. 275–78, doi:10.1109/FCCM.2009.25.","bibtex":"@inproceedings{Schumacher_Plessl_Platzner_2009, title={IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing}, DOI={10.1109/FCCM.2009.25}, booktitle={Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)}, publisher={IEEE Computer Society}, author={Schumacher, Tobias and Plessl, Christian and Platzner, Marco}, year={2009}, pages={275–278} }"},"year":"2009","page":"275-278","_id":"2350","status":"public","date_created":"2018-04-16T15:05:52Z","publisher":"IEEE Computer Society","author":[{"first_name":"Tobias","full_name":"Schumacher, Tobias","last_name":"Schumacher"},{"orcid":"0000-0001-5728-9982","full_name":"Plessl, Christian","first_name":"Christian","id":"16153","last_name":"Plessl"},{"id":"398","last_name":"Platzner","full_name":"Platzner, Marco","first_name":"Marco"}],"quality_controlled":"1","publication":"Proc. Int. Symp. on Field-Programmable Custom Computing Machines (FCCM)","keyword":["IMORC","interconnect","performance"],"user_id":"15278","abstract":[{"text":"Mapping applications that consist of a collection of cores to FPGA accelerators and optimizing their performance is a challenging task in high performance reconfigurable computing. We present IMORC, an architectural template and highly versatile on-chip interconnect. IMORC links provide asynchronous FIFOs and bitwidth conversion which allows for flexibly composing accelerators from cores running at full speed within their own clock domains, thus facilitating the re-use of cores and portability. Further, IMORC inserts performance counters for monitoring runtime data. In this paper, we first introduce the IMORC architectural template and the on-chip interconnect, and then demonstrate IMORC on the example of accelerating the k-th nearest neighbor thinning problem on an XD1000 reconfigurable computing system. Using IMORC's monitoring infrastructure, we gain insights into the data-dependent behavior of the application which, in turn, allow for optimizing the accelerator. ","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.1109/FCCM.2009.25","date_updated":"2023-09-26T13:51:44Z","publication_identifier":{"isbn":["978-1-4244-4450-2"]},"department":[{"_id":"27"},{"_id":"518"},{"_id":"78"}],"title":"IMORC: Application Mapping, Monitoring and Optimization for High-Performance Reconfigurable Computing"}]