[{"user_id":"15278","department":[{"_id":"27"},{"_id":"518"}],"project":[{"_id":"1","name":"SFB 901","grant_number":"160364472"},{"grant_number":"160364472","name":"SFB 901 - Subprojekt C2","_id":"14"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"34","name":"Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures","grant_number":"610996"}],"_id":"165","file_date_updated":"2018-03-21T12:45:47Z","type":"journal_article","status":"public","author":[{"last_name":"Vaz","id":"30332","full_name":"Vaz, Gavin Francis","first_name":"Gavin Francis"},{"first_name":"Heinrich","last_name":"Riebler","full_name":"Riebler, Heinrich","id":"8961"},{"last_name":"Kenter","id":"3145","full_name":"Kenter, Tobias","first_name":"Tobias"},{"last_name":"Plessl","orcid":"0000-0001-5728-9982","full_name":"Plessl, Christian","id":"16153","first_name":"Christian"}],"volume":55,"date_updated":"2023-09-26T13:26:38Z","doi":"10.1016/j.compeleceng.2016.04.021","publication_identifier":{"issn":["0045-7906"]},"has_accepted_license":"1","citation":{"bibtex":"@article{Vaz_Riebler_Kenter_Plessl_2016, title={Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.compeleceng.2016.04.021\">10.1016/j.compeleceng.2016.04.021</a>}, journal={Computers and Electrical Engineering}, publisher={Elsevier}, author={Vaz, Gavin Francis and Riebler, Heinrich and Kenter, Tobias and Plessl, Christian}, year={2016}, pages={91–111} }","mla":"Vaz, Gavin Francis, et al. “Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code.” <i>Computers and Electrical Engineering</i>, vol. 55, Elsevier, 2016, pp. 91–111, doi:<a href=\"https://doi.org/10.1016/j.compeleceng.2016.04.021\">10.1016/j.compeleceng.2016.04.021</a>.","short":"G.F. Vaz, H. Riebler, T. Kenter, C. Plessl, Computers and Electrical Engineering 55 (2016) 91–111.","apa":"Vaz, G. F., Riebler, H., Kenter, T., &#38; Plessl, C. (2016). Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. <i>Computers and Electrical Engineering</i>, <i>55</i>, 91–111. <a href=\"https://doi.org/10.1016/j.compeleceng.2016.04.021\">https://doi.org/10.1016/j.compeleceng.2016.04.021</a>","ieee":"G. F. Vaz, H. Riebler, T. Kenter, and C. Plessl, “Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code,” <i>Computers and Electrical Engineering</i>, vol. 55, pp. 91–111, 2016, doi: <a href=\"https://doi.org/10.1016/j.compeleceng.2016.04.021\">10.1016/j.compeleceng.2016.04.021</a>.","chicago":"Vaz, Gavin Francis, Heinrich Riebler, Tobias Kenter, and Christian Plessl. “Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code.” <i>Computers and Electrical Engineering</i> 55 (2016): 91–111. <a href=\"https://doi.org/10.1016/j.compeleceng.2016.04.021\">https://doi.org/10.1016/j.compeleceng.2016.04.021</a>.","ama":"Vaz GF, Riebler H, Kenter T, Plessl C. Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code. <i>Computers and Electrical Engineering</i>. 2016;55:91-111. doi:<a href=\"https://doi.org/10.1016/j.compeleceng.2016.04.021\">10.1016/j.compeleceng.2016.04.021</a>"},"page":"91-111","intvolume":"        55","language":[{"iso":"eng"}],"ddc":["040"],"publication":"Computers and Electrical Engineering","file":[{"file_name":"165-1-s2.0-S0045790616301021-main.pdf","access_level":"closed","file_id":"1544","file_size":3037854,"date_created":"2018-03-21T12:45:47Z","creator":"florida","date_updated":"2018-03-21T12:45:47Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"abstract":[{"text":"A broad spectrum of applications can be accelerated by offloading computation intensive parts to reconfigurable hardware. However, to achieve speedups, the number of loop it- erations (trip count) needs to be sufficiently large to amortize offloading overheads. Trip counts are frequently not known at compile time, but only at runtime just before entering a loop. Therefore, we propose to generate code for both the CPU and the coprocessor, and defer the offloading decision to the application runtime. We demonstrate how a toolflow, based on the LLVM compiler framework, can automatically embed dynamic offloading de- cisions into the application code. We perform in-depth static and dynamic analysis of pop- ular benchmarks, which confirm the general potential of such an approach. We also pro- pose to optimize the offloading process by decoupling the runtime decision from the loop execution (decision slack). The feasibility of our approach is demonstrated by a toolflow that automatically identifies suitable data-parallel loops and generates code for the FPGA coprocessor of a Convey HC-1. We evaluate the integrated toolflow with representative loops executed for different input data sizes.","lang":"eng"}],"date_created":"2017-10-17T12:41:24Z","publisher":"Elsevier","title":"Potential and Methods for Embedding Dynamic Offloading Decisions into Application Code","quality_controlled":"1","year":"2016"}]