[{"external_id":{"arxiv":["1907.08497"]},"title":"Accurate Sampling with Noisy Forces from Approximate Computing","department":[{"_id":"27"},{"_id":"518"},{"_id":"304"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"},{"grant_number":"PL 595/2-1 / 320898746","name":"Performance and Efficiency in HPC with Custom Computing","_id":"32"}],"date_updated":"2023-09-26T11:43:52Z","oa":"1","doi":"10.3390/computation8020039","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"In scientific computing, the acceleration of atomistic computer simulations by means of custom hardware is finding ever-growing application. A major limitation, however, is that the high efficiency in terms of performance and low power consumption entails the massive usage of low precision computing units. Here, based on the approximate computing paradigm, we present an algorithmic method to compensate for numerical inaccuracies due to low accuracy arithmetic operations rigorously, yet still obtaining exact expectation values using a properly modified Langevin-type equation."}],"user_id":"15278","publication":"Computation","publisher":"MDPI","author":[{"first_name":"Varadarajan","full_name":"Rengaraj, Varadarajan","last_name":"Rengaraj"},{"full_name":"Lass, Michael","orcid":"0000-0002-5708-7632","first_name":"Michael","id":"24135","last_name":"Lass"},{"full_name":"Plessl, Christian","orcid":"0000-0001-5728-9982","first_name":"Christian","id":"16153","last_name":"Plessl"},{"full_name":"Kühne, Thomas","first_name":"Thomas","id":"49079","last_name":"Kühne"}],"quality_controlled":"1","date_created":"2019-07-23T12:03:07Z","status":"public","volume":8,"_id":"12878","intvolume":" 8","issue":"2","article_number":"39","main_file_link":[{"url":"https://www.mdpi.com/2079-3197/8/2/39/pdf","open_access":"1"}],"citation":{"ama":"Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039","apa":"Rengaraj, V., Lass, M., Plessl, C., & Kühne, T. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation, 8(2), Article 39. https://doi.org/10.3390/computation8020039","chicago":"Rengaraj, Varadarajan, Michael Lass, Christian Plessl, and Thomas Kühne. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation 8, no. 2 (2020). https://doi.org/10.3390/computation8020039.","bibtex":"@article{Rengaraj_Lass_Plessl_Kühne_2020, title={Accurate Sampling with Noisy Forces from Approximate Computing}, volume={8}, DOI={10.3390/computation8020039}, number={239}, journal={Computation}, publisher={MDPI}, author={Rengaraj, Varadarajan and Lass, Michael and Plessl, Christian and Kühne, Thomas}, year={2020} }","mla":"Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.","short":"V. Rengaraj, M. Lass, C. Plessl, T. Kühne, Computation 8 (2020).","ieee":"V. Rengaraj, M. Lass, C. Plessl, and T. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,” Computation, vol. 8, no. 2, Art. no. 39, 2020, doi: 10.3390/computation8020039."},"type":"journal_article","year":"2020"}]