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In this contribution, we provide a performance\/cost model for the execution of this application on both local system and public cloud infrastructures. With our model, it is possible to determine which is the best infrastructure to use in terms of execution time and costs for any given problem to be solved by BINDSURF. Conclusions obtained from our study can be extrapolated to other GPU\u2010based VS methodologies.Copyright \u00a9 2013 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/cpe.3117","type":"journal-article","created":{"date-parts":[[2013,8,14]],"date-time":"2013-08-14T07:17:19Z","timestamp":1376464639000},"page":"1787-1798","source":"Crossref","is-referenced-by-count":10,"title":["A performance\/cost model for a CUDA drug discovery application on physical and public cloud infrastructures"],"prefix":"10.1002","volume":"26","author":[{"given":"Gin\u00e9s D.","family":"Guerrero","sequence":"first","affiliation":[{"name":"Dept. of Computer Architecture University of Murcia  30080 Murcia Spain"}]},{"given":"Richard M.","family":"Wallace","sequence":"additional","affiliation":[{"name":"Dept. of Computer Architecture and Automation Complutense University of Madrid  28040 Madrid Spain"}]},{"given":"Jos\u00e9 L.","family":"V\u00e1zquez\u2010Poletti","sequence":"additional","affiliation":[{"name":"Dept. of Computer Architecture and Automation Complutense University of Madrid  28040 Madrid Spain"}]},{"given":"Jos\u00e9 M.","family":"Cecilia","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science Catholic University of Murcia  30107 Murcia Spain"}]},{"given":"Jos\u00e9 M.","family":"Garc\u00eda","sequence":"additional","affiliation":[{"name":"Dept. of Computer Architecture University of Murcia  30080 Murcia Spain"}]},{"given":"Daniel","family":"Mozos","sequence":"additional","affiliation":[{"name":"Dept. of Computer Architecture and Automation Complutense University of Madrid  28040 Madrid Spain"}]},{"given":"Horacio","family":"P\u00e9rez\u2010S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science Catholic University of Murcia  30107 Murcia Spain"}]}],"member":"311","published-online":{"date-parts":[[2013,8,14]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/28.1.235"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.95.23.13597"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1839676.1839694"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2008.57"},{"key":"e_1_2_9_6_1","unstructured":"NVIDIA.Whitepaper NVIDIA's Next Generation CUDA Compute Architecture: Kepler GK110. 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