{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T14:35:58Z","timestamp":1762353358420,"version":"3.28.0"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T00:00:00Z","timestamp":1686009600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T00:00:00Z","timestamp":1686009600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s10586-023-04049-z","type":"journal-article","created":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T18:03:21Z","timestamp":1686074601000},"page":"1821-1830","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["CUDA-aware MPI implementation of Gibbs sampling for an IRT model"],"prefix":"10.1007","volume":"27","author":[{"given":"William S.","family":"Welling","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyan","family":"Sheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michelle M.","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,6]]},"reference":[{"issue":"4","key":"4049_CR1","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/BF02293801","volume":"46","author":"RD Bock","year":"1981","unstructured":"Bock, R.D., Aitkin, M.: Marginal maximum likelihood estimation of item parameters: application of an EM algorithm. Psychometrika 46(4), 443\u2013459 (1981)","journal-title":"Psychometrika"},{"issue":"392","key":"4049_CR2","doi-asserted-by":"publisher","first-page":"993","DOI":"10.1080\/01621459.1985.10478215","volume":"80","author":"RJ Mislevy","year":"1985","unstructured":"Mislevy, R.J.: Estimation of latent group effects. J. Am. Stat. Assoc. 80(392), 993\u2013997 (1985)","journal-title":"J. Am. Stat. Assoc."},{"issue":"2","key":"4049_CR3","doi-asserted-by":"publisher","first-page":"146","DOI":"10.2307\/1165199","volume":"24","author":"RJ Patz","year":"1999","unstructured":"Patz, R.J., Junker, B.: A straightforward approach to Markov chain Monte Carlo methods for item response model. J. Educ. Behav. Stat. 24(2), 146\u2013178 (1999)","journal-title":"J. Educ. Behav. Stat."},{"issue":"2","key":"4049_CR4","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/BF02293983","volume":"51","author":"RK Tutakawa","year":"1986","unstructured":"Tutakawa, R.K., Lin, H.Y.: Bayesian estimation of item response curves. Psychometrika 51(2), 251\u2013267 (1986)","journal-title":"Psychometrika"},{"issue":"2","key":"4049_CR5","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1093\/pan\/mpi010","volume":"13","author":"J Bafumi","year":"2005","unstructured":"Bafumi, J., Gelman, A., Park, D.K., Kaplan, N.: Practical issues in implementing and understanding Bayesian ideal point estimation. Polit. Anal. 13(2), 171\u2013187 (2005)","journal-title":"Polit. Anal."},{"issue":"4","key":"4049_CR6","doi-asserted-by":"publisher","first-page":"807","DOI":"10.1037\/0021-843X.115.4.807","volume":"115","author":"CS Martin","year":"2006","unstructured":"Martin, C.S., Chung, T., Kirisci, L., Langenbucher, J.W.: Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: implications for DSM-V. J. Abnorm. Psychol. 115(4), 807\u2013814 (2006)","journal-title":"J. Abnorm. Psychol."},{"issue":"4","key":"4049_CR7","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1521\/pedi.2007.21.4.418","volume":"21","author":"U Feske","year":"2007","unstructured":"Feske, U., Kirisci, L., Tarter, R.E., Plkonis, P.A.: An application of item response theory to the DSM-III-R criteria for borderline personality disorder. J. Pers. Disord. 21(4), 418\u2013433 (2007)","journal-title":"J. Pers. Disord."},{"issue":"3","key":"4049_CR8","doi-asserted-by":"publisher","first-page":"418","DOI":"10.15288\/jsad.2010.71.418","volume":"71","author":"CL Beseler","year":"2010","unstructured":"Beseler, C.L., Taylor, L.A., Leeman, R.F.: An item-response theory analysis of DSM-IV alcohol-use disorder criteria and \u201cbinge\u2019\u2019 drinking in undergraduates. J. Stud. Alcohol Drugs 71(3), 418\u2013423 (2010)","journal-title":"J. Stud. Alcohol Drugs"},{"issue":"5","key":"4049_CR9","doi-asserted-by":"publisher","first-page":"984","DOI":"10.1111\/j.1530-0277.2010.01429.x","volume":"35","author":"DA Gilder","year":"2011","unstructured":"Gilder, D.A., Gizer, I.R., Ehlers, C.L.: Item response theory analysis of binge drinking and its relationship to lifetime alcohol use disorder symptom severity in an American Indian community sample. Alcoholism 35(5), 984\u2013995 (2011)","journal-title":"Alcoholism"},{"issue":"1","key":"4049_CR10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/S0376-8716(02)00213-2","volume":"68","author":"AT Panter","year":"2002","unstructured":"Panter, A.T., Reeve, B.B.: Assessing tobacco beliefs among youth using item response theory models. Drug Alcohol Depend. 68(1), 21\u201339 (2002)","journal-title":"Drug Alcohol Depend."},{"issue":"3","key":"4049_CR11","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1037\/0893-164X.22.3.391","volume":"22","author":"D Courvoisier","year":"2008","unstructured":"Courvoisier, D., Etter, J.F.: Using item response theory to study the convergent and discriminant validity of three questionnaires measuring cigarette dependence. Psychol. Addict. Behav. 22(3), 391\u2013401 (2008)","journal-title":"Psychol. Addict. Behav."},{"issue":"12","key":"4049_CR12","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.drugalcdep.2010.02.006","volume":"110","author":"JS Rose","year":"2010","unstructured":"Rose, J.S., Dierker, L.C.: An item response theory analysis of nicotine dependence symptoms in recent onset adolescent smokers. Drug Alcohol Depend. 110(12), 70\u201379 (2010)","journal-title":"Drug Alcohol Depend."},{"issue":"3","key":"4049_CR13","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1111\/1467-985X.00143","volume":"162","author":"SE Fienberg","year":"1999","unstructured":"Fienberg, S.E., Johnson, M.S., Junker, B.W.: Classical multilevel and Bayesian approaches to population size estimation using multiple lists. J. R. Stat. Soc. Ser. A 162(3), 383\u2013392 (1999)","journal-title":"J. R. Stat. Soc. Ser. A"},{"issue":"1","key":"4049_CR14","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1177\/0049124189018001003","volume":"18","author":"M Reiser","year":"1989","unstructured":"Reiser, M.: An application of the item-response model to psychiatric epidemiology. Sociol. Methods Res. 18(1), 66\u2013103 (1989)","journal-title":"Sociol. Methods Res."},{"issue":"3","key":"4049_CR15","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1037\/1040-3590.12.3.354","volume":"12","author":"M Orlando","year":"2000","unstructured":"Orlando, M., Sherbourne, C.D., Thissen, D.: Summed-score linking using item response theory: application to depression measurement. Psychol. Assess. 12(3), 354\u2013359 (2000)","journal-title":"Psychol. Assess."},{"issue":"1","key":"4049_CR16","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1002\/mpr.277","volume":"18","author":"A Tsutsumi","year":"2009","unstructured":"Tsutsumi, A., Iwata, N., Watanabe, N., de Jonge, J., Pikhart, H., Fernndez-Lpez, J.A., Xu, L., Peter, R., Knutsson, A., Niedhammer, I., Kawakami, N., Siegrist, J.: Application of item response theory to achieve cross-cultural comparability of occupational stress measurement. Int. J. Methods Psychiatr. Res. 18(1), 58\u201367 (2009)","journal-title":"Int. J. Methods Psychiatr. Res."},{"issue":"5","key":"4049_CR17","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1007\/s11633-020-1239-y","volume":"17","author":"Z Chen","year":"2020","unstructured":"Chen, Z., Ahn, H.: Item response theory based ensemble in machine learning. Int. J. Autom. Comput. 17(5), 621\u2013636 (2020)","journal-title":"Int. J. Autom. Comput."},{"key":"4049_CR18","unstructured":"Mart\u00ednez-Plumed, F., Pruden\u0302cio, R. B. C., Mart\u00ednez-Us\u00f3, A., Herna\u0144dez-Orallo, J.: Making sense of item response theory in machine learning. In: ECAI\u201916: Proceedings of the Twenty-second European Conference on Artificial Intelligence, pp. 1140\u20131148 (2016)"},{"key":"4049_CR19","unstructured":"Bergner, Y., Dr\u00f6schler, S., Kortemeyer, G., Rayyan, S., Seaton, D., Pritchard, D. E.: Model-based collaborative filtering analysis of student response data: machine-learning item response theory. Paper presented at the International Conference on Educational Data Mining (EDM), Chania, Greece, June (2012)"},{"issue":"2","key":"4049_CR20","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/0022-2496(69)90005-4","volume":"6","author":"A Birnbaum","year":"1969","unstructured":"Birnbaum, A.: Statistical theory for logistic mental test models with a prior distribution of ability. J. Math. Psychol. 6(2), 258\u2013276 (1969)","journal-title":"J. Math. Psychol."},{"key":"4049_CR21","doi-asserted-by":"publisher","DOI":"10.1201\/9781482276725","volume-title":"Item Response Theory: Parameter Estimation Techniques","author":"FB Baker","year":"2004","unstructured":"Baker, F.B., Kim, S.H.: Item Response Theory: Parameter Estimation Techniques, 2nd edn. Dekker, New York (2004)","edition":"2"},{"key":"4049_CR22","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/978-1-4612-4230-7_3","volume-title":"Rasch Models: Foundations, Recent Developments, and Applications","author":"IW Molenaar","year":"1995","unstructured":"Molenaar, I.W.: Estimation of item parameters. In: Fischer, G.H., Molenaar, I.W. (eds.) Rasch Models: Foundations, Recent Developments, and Applications, pp. 39\u201351. Springer, New York (1995)"},{"issue":"1","key":"4049_CR23","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/j.2517-6161.1993.tb01466.x","volume":"55","author":"AFM Smith","year":"1993","unstructured":"Smith, A.F.M., Roberts, G.O.: Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods (with discussion). J. R. Stat. Soc. B 55(1), 3\u201323 (1993)","journal-title":"J. R. Stat. Soc. B"},{"issue":"4","key":"4049_CR24","first-page":"1701","volume":"22","author":"L Tierney","year":"1994","unstructured":"Tierney, L.: Markov chains for exploring posterior distributions. Ann. Stat. 22(4), 1701\u20131728 (1994)","journal-title":"Ann. Stat."},{"issue":"3","key":"4049_CR25","doi-asserted-by":"publisher","first-page":"251","DOI":"10.3102\/10769986017003251","volume":"17","author":"JH Albert","year":"1992","unstructured":"Albert, J.H.: Bayesian estimation of normal ogive item response curves using Gibbs sampling. J. Educ. Stat. 17(3), 251\u2013269 (1992)","journal-title":"J. Educ. Stat."},{"issue":"6","key":"4049_CR26","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","volume":"6","author":"S Geman","year":"1984","unstructured":"Geman, S., Geman, D.: Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6(6), 721\u2013741 (1984)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4049_CR27","volume-title":"Statistical Theories of Mental Test Scores","author":"FM Lord","year":"1968","unstructured":"Lord, F.M., Novick, M.R.: Statistical Theories of Mental Test Scores. Addison-Wesley, Boston (1968)"},{"issue":"1","key":"4049_CR28","doi-asserted-by":"publisher","first-page":"341","DOI":"10.22237\/jmasm\/1177993920","volume":"6","author":"Y Sheng","year":"2007","unstructured":"Sheng, Y., Headrick, T.C.: An algorithm for implementing Gibbs sampling for 2PNO IRT models. J. Mod. Appl. Stat. Methods 6(1), 341\u2013349 (2007)","journal-title":"J. Mod. Appl. Stat. Methods"},{"issue":"2","key":"4049_CR29","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1177\/014662169602000201","volume":"20","author":"M Harwell","year":"1996","unstructured":"Harwell, M., Stone, C.A., Hsu, H., Kirisci, L.: Monte Carlo studies in item response theory. Appl. Psychol. Meas. 20(2), 101\u2013126 (1996)","journal-title":"Appl. Psychol. Meas."},{"key":"4049_CR30","volume-title":"Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering","author":"I Foster","year":"1995","unstructured":"Foster, I.: Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering. Addison-Wesley, Boston (1995)"},{"issue":"2","key":"4049_CR31","doi-asserted-by":"publisher","first-page":"65","DOI":"10.4236\/ajcm.2012.22009","volume":"2","author":"K Pastias","year":"2012","unstructured":"Pastias, K., Rahimi, M., Sheng, Y., Rahimi, S.: Parallel computing with a Bayesian item response model. Am. J. Comput. Math. 2(2), 65\u201371 (2012)","journal-title":"Am. J. Comput. Math."},{"issue":"264040","key":"4049_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5402\/2012\/264040","volume":"2012","author":"Y Sheng","year":"2012","unstructured":"Sheng, Y., Rahimi, M.: High performance Gibbs sampling for IRT models using row-wise decomposition. ISRN Comput. Math. 2012(264040), 1\u20139 (2012)","journal-title":"ISRN Comput. Math."},{"issue":"368149","key":"4049_CR33","first-page":"1","volume":"2014","author":"Y Sheng","year":"2014","unstructured":"Sheng, Y., Welling, W.S., Zhu, M.M.: A GPU-based Gibbs sampler for a unidimensional IRT model. ISRN Comput. Math. 2014(368149), 1\u201311 (2014)","journal-title":"ISRN Comput. Math."},{"key":"4049_CR34","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-319-19977-1_5","volume-title":"Quantitative Psychology Research","author":"Y Sheng","year":"2015","unstructured":"Sheng, Y., Welling, W.S., Zhu, M.M.: GPU-accelerated computing with Gibbs sampler for the 2PNO IRT model. In: van der Ark, L.A., et al. (eds.) Quantitative Psychology Research, pp. 59\u201373. Springer, New York (2015)"},{"key":"4049_CR35","unstructured":"NVIDIA, Vingelmann, P., Fitzek, F.H.P.: CUDA, Release: 10.2.89 (2020) https:\/\/developer.nvidia.com\/cuda-toolkit"},{"key":"4049_CR36","unstructured":"Kraus, J.: An introduction to CUDA-aware MPI. NVidia Developer (blog) (2013) https:\/\/developer.nvidia.com\/blog\/introduction-cuda-aware-mpi\/"},{"key":"4049_CR37","unstructured":"Adinets, A.: CUDA dynamic parallelism API and principles. NVidia Developer (blog) (2018) https:\/\/developer.nvidia.com\/blog\/using-cuda-warp-level-primitives\/"},{"key":"4049_CR38","unstructured":"CUDA-CUBLAS Library 11.7. NVIDIA Corp. (2022) https:\/\/docs.nvidia.com\/cuda\/cublas\/"},{"issue":"1","key":"4049_CR39","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1177\/0146621697211002","volume":"21","author":"MD Reckase","year":"1997","unstructured":"Reckase, M.D.: The past and future of multidimensional item response theory. Appl. Psychol. Meas. 21(1), 25\u201336 (1997)","journal-title":"Appl. Psychol. Meas."},{"key":"4049_CR40","doi-asserted-by":"publisher","unstructured":"Farahani, H. S., Fatehi, A., Sh, M. A.: Between-domain instance transition via the process of Gibbs sampling in RBM. arXiv, (2020). https:\/\/doi.org\/10.48550\/arxiv.2006.14538","DOI":"10.48550\/arxiv.2006.14538"},{"key":"4049_CR41","doi-asserted-by":"publisher","unstructured":"Papamarkou, T., Hinkle, J., Young, M. T., Womble, D.: Challenges in Markov chain Monte Carlo for Bayesian neural networks. arXiv, (2019). https:\/\/doi.org\/10.48550\/arxiv.1910.06539","DOI":"10.48550\/arxiv.1910.06539"},{"key":"4049_CR42","doi-asserted-by":"publisher","unstructured":"Canillas, R., Laurent, R., Faix, M., Vaufreydaz, D., Mazer, E.: Autonomous robot controller using bitwise Gibbs sampling. In: 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), pp. 72\u201376 (2016). https:\/\/doi.org\/10.1109\/ICCI-CC.2016.7862096","DOI":"10.1109\/ICCI-CC.2016.7862096"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04049-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-023-04049-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04049-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T21:18:32Z","timestamp":1729545512000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-023-04049-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,6]]},"references-count":42,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["4049"],"URL":"https:\/\/doi.org\/10.1007\/s10586-023-04049-z","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"type":"print","value":"1386-7857"},{"type":"electronic","value":"1573-7543"}],"subject":[],"published":{"date-parts":[[2023,6,6]]},"assertion":[{"value":"13 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 May 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 June 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}