{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:55Z","timestamp":1750220335594,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":61,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T00:00:00Z","timestamp":1636761600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["OAC-1828187,OAC-1854828"],"award-info":[{"award-number":["OAC-1828187,OAC-1854828"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,14]]},"DOI":"10.1145\/3458817.3476207","type":"proceedings-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T04:49:21Z","timestamp":1634791761000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Parallel construction of module networks"],"prefix":"10.1145","author":[{"given":"Ankit","family":"Srivastava","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Sriram P.","family":"Chockalingam","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Maneesha","family":"Aluru","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Srinivas","family":"Aluru","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]}],"member":"320","published-online":{"date-parts":[[2021,11,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18547\/gcb.2016.vol2.iss1.e32"},{"key":"e_1_3_2_2_2_1","volume-title":"Miguel HA Santana, Danielle Passarelli, Lidia H Pulz, Paulo Fantinato-Neto, Paulo L Silva, Paulo R Leme, Ricardo F Strefezzi, Luiz L Coutinho, et al.","author":"Alexandre Pamela A","year":"2015","unstructured":"Pamela A Alexandre , Lisette JA Kogelman , Miguel HA Santana, Danielle Passarelli, Lidia H Pulz, Paulo Fantinato-Neto, Paulo L Silva, Paulo R Leme, Ricardo F Strefezzi, Luiz L Coutinho, et al. 2015 . Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle. BMC genomics 16, 1 (2015), 1--13. Pamela A Alexandre, Lisette JA Kogelman, Miguel HA Santana, Danielle Passarelli, Lidia H Pulz, Paulo Fantinato-Neto, Paulo L Silva, Paulo R Leme, Ricardo F Strefezzi, Luiz L Coutinho, et al. 2015. Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle. BMC genomics 16, 1 (2015), 1--13."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.4672797"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Stilianos Arhondakis Craita E Bita Andreas Perrakis Maria E Manioudaki Afroditi Krokida Dimitrios Kaloudas and Panagiotis Kalaitzis. 2016. In silico transcriptional regulatory networks involved in tomato fruit ripening. Frontiers in plant science 7 (2016) 1234.  Stilianos Arhondakis Craita E Bita Andreas Perrakis Maria E Manioudaki Afroditi Krokida Dimitrios Kaloudas and Panagiotis Kalaitzis. 2016. In silico transcriptional regulatory networks involved in tomato fruit ripening. Frontiers in plant science 7 (2016) 1234.","DOI":"10.3389\/fpls.2016.01234"},{"key":"e_1_3_2_2_5_1","volume-title":"International conference on machine learning. PMLR, 1440--1448","author":"Azizi Elham","year":"2014","unstructured":"Elham Azizi , Edoardo Airoldi , and James Galagan . 2014 . Learning modular structures from network data and node variables . In International conference on machine learning. PMLR, 1440--1448 . Elham Azizi, Edoardo Airoldi, and James Galagan. 2014. Learning modular structures from network data and node variables. In International conference on machine learning. PMLR, 1440--1448."},{"key":"e_1_3_2_2_6_1","volume-title":"Uncovering co-expression gene network modules regulating fruit acidity in diverse apples. BMC genomics 16, 1","author":"Bai Yang","year":"2015","unstructured":"Yang Bai , Laura Dougherty , Lailiang Cheng , Gan-Yuan Zhong , and Kenong Xu. 2015. Uncovering co-expression gene network modules regulating fruit acidity in diverse apples. BMC genomics 16, 1 ( 2015 ), 1--16. Yang Bai, Laura Dougherty, Lailiang Cheng, Gan-Yuan Zhong, and Kenong Xu. 2015. Uncovering co-expression gene network modules regulating fruit acidity in diverse apples. BMC genomics 16, 1 (2015), 1--16."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2005.12.909"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.75.066701"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2005.1582571"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10709-017-9980-z"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.2471\/BLT.11.086009"},{"key":"e_1_3_2_2_12_1","volume-title":"Computational solutions for omics data. Nature reviews genetics 14, 5","author":"Berger Bonnie","year":"2013","unstructured":"Bonnie Berger , Jian Peng , and Mona Singh . 2013. Computational solutions for omics data. Nature reviews genetics 14, 5 ( 2013 ), 333--346. Bonnie Berger, Jian Peng, and Mona Singh. 2013. Computational solutions for omics data. Nature reviews genetics 14, 5 (2013), 333--346."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003983"},{"volume-title":"Classification and regression trees","author":"Breiman Leo","key":"e_1_3_2_2_14_1","unstructured":"Leo Breiman , Jerome Friedman , Charles J Stone , and Richard A Olshen . 1984. Classification and regression trees . CRC press . Leo Breiman, Jerome Friedman, Charles J Stone, and Richard A Olshen. 1984. Classification and regression trees. CRC press."},{"key":"e_1_3_2_2_15_1","first-page":"1287","article-title":"Large-sample learning of Bayesian networks is NP-hard","author":"Chickering David Maxwell","year":"2004","unstructured":"David Maxwell Chickering , David Heckerman , and Christopher Meek . 2004 . Large-sample learning of Bayesian networks is NP-hard . Journal of Machine Learning Research 5 , Oct (2004), 1287 -- 1330 . David Maxwell Chickering, David Heckerman, and Christopher Meek. 2004. Large-sample learning of Bayesian networks is NP-hard. Journal of Machine Learning Research 5, Oct (2004), 1287--1330.","journal-title":"Journal of Machine Learning Research 5"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34327-8_17"},{"key":"e_1_3_2_2_18_1","volume-title":"Theory-based causal induction. Psychological review 116, 4","author":"Griffiths Thomas L","year":"2009","unstructured":"Thomas L Griffiths and Joshua B Tenenbaum . 2009. Theory-based causal induction. Psychological review 116, 4 ( 2009 ), 661. Thomas L Griffiths and Joshua B Tenenbaum. 2009. Theory-based causal induction. Psychological review 116, 4 (2009), 661."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24674-9_31"},{"key":"e_1_3_2_2_20_1","volume-title":"A tutorial on learning with Bayesian networks. Innovations in Bayesian networks","author":"Heckerman David","year":"2008","unstructured":"David Heckerman . 2008. A tutorial on learning with Bayesian networks. Innovations in Bayesian networks ( 2008 ), 33--82. David Heckerman. 2008. A tutorial on learning with Bayesian networks. Innovations in Bayesian networks (2008), 33--82."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102389"},{"key":"e_1_3_2_2_22_1","unstructured":"Hugo Heyman and Love Brandefelt. 2020. A Comparison of Performance & Implementation Complexity of Multithreaded Applications in Rust Java and C++.  Hugo Heyman and Love Brandefelt. 2020. A Comparison of Performance & Implementation Complexity of Multithreaded Applications in Rust Java and C++."},{"key":"e_1_3_2_2_23_1","volume-title":"A review of feature selection and feature extraction methods applied on microarray data. Advances in bioinformatics 2015","author":"Hira Zena M","year":"2015","unstructured":"Zena M Hira and Duncan F Gillies . 2015. A review of feature selection and feature extraction methods applied on microarray data. Advances in bioinformatics 2015 ( 2015 ). Zena M Hira and Duncan F Gillies. 2015. A review of feature selection and feature extraction methods applied on microarray data. Advances in bioinformatics 2015 (2015)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2006.1639610"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn658"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm562"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1152\/physiolgenomics.00001.2015"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2012.2203229"},{"volume-title":"The art of computer programming","author":"Knuth Donald Ervin","key":"e_1_3_2_2_29_1","unstructured":"Donald Ervin Knuth . 1997. The art of computer programming . Vol. 3 . Pearson Education . Donald Ervin Knuth. 1997. The art of computer programming. Vol. 3. Pearson Education."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48751-4_1"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2074226.2074262"},{"key":"e_1_3_2_2_32_1","volume-title":"Proc. 16th Int. Workshop Principles Diagnosis. Citeseer, 175--180","author":"Kraaijeveld Pieter","year":"2005","unstructured":"Pieter Kraaijeveld , Marek J Druzdzel , Agnieszka Onisko , and Hanna Wasyluk . 2005 . Genierate: An interactive generator of diagnostic bayesian network models . In Proc. 16th Int. Workshop Principles Diagnosis. Citeseer, 175--180 . Pieter Kraaijeveld, Marek J Druzdzel, Agnieszka Onisko, and Hanna Wasyluk. 2005. Genierate: An interactive generator of diagnostic bayesian network models. In Proc. 16th Int. Workshop Principles Diagnosis. Citeseer, 175--180."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPPW.2005.66"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.3390\/molecules23020183"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1039\/C7MB00248C"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.10.018"},{"key":"e_1_3_2_2_37_1","volume-title":"Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence. 389--396","author":"Mahoney Suzanne M","year":"1996","unstructured":"Suzanne M Mahoney and Kathryn B Laskey . 1996 . Network Engineering for Complex Belief Networks . In Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence. 389--396 . Suzanne M Mahoney and Kathryn B Laskey. 1996. Network Engineering for Complex Belief Networks. In Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence. 389--396."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Fabio Albuquerque Marchi David Correa Martins Mateus Camargo Barros-Filho Hellen Kuasne Ariane Fidelis Busso Lopes Helena Brentani Jose Carlos Souza Trindade Filho Gustavo Cardoso Guimar\u00e3es Eliney F Faria Cristovam Scapulatempo-Neto et al. 2017. Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma. Scientific reports 7 1 (2017) 1--11.  Fabio Albuquerque Marchi David Correa Martins Mateus Camargo Barros-Filho Hellen Kuasne Ariane Fidelis Busso Lopes Helena Brentani Jose Carlos Souza Trindade Filho Gustavo Cardoso Guimar\u00e3es Eliney F Faria Cristovam Scapulatempo-Neto et al. 2017. Multidimensional integrative analysis uncovers driver candidates and biomarkers in penile carcinoma. Scientific reports 7 1 (2017) 1--11.","DOI":"10.1038\/s41598-017-06659-1"},{"key":"e_1_3_2_2_39_1","volume-title":"Inferring cellular networks-a review. BMC bioinformatics 8, 6","author":"Markowetz Florian","year":"2007","unstructured":"Florian Markowetz and Rainer Spang . 2007. Inferring cellular networks-a review. BMC bioinformatics 8, 6 ( 2007 ), 1--17. Florian Markowetz and Rainer Spang. 2007. Inferring cellular networks-a review. BMC bioinformatics 8, 6 (2007), 1--17."},{"key":"e_1_3_2_2_40_1","volume-title":"Koenraad Van Leemput, Piet Van Remortel, Martin Kuiper, Kathleen Marchal, et al.","author":"Michoel Tom","year":"2007","unstructured":"Tom Michoel , Steven Maere , Eric Bonnet , Anagha Joshi , Yvan Saeys , Tim Van den Bulcke , Koenraad Van Leemput, Piet Van Remortel, Martin Kuiper, Kathleen Marchal, et al. 2007 . Validating module network learning algorithms using simulated data. BMC bioinformatics 8, 2 (2007), 1--15. Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet Van Remortel, Martin Kuiper, Kathleen Marchal, et al. 2007. Validating module network learning algorithms using simulated data. BMC bioinformatics 8, 2 (2007), 1--15."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.86.056111"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2014.43"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1177\/1010428318795761"},{"key":"e_1_3_2_2_44_1","article-title":"Bayesian Network Learning with Parameter Constraints","volume":"7","author":"Niculescu Radu Stefan","year":"2006","unstructured":"Radu Stefan Niculescu , Tom M Mitchell , R Bharat Rao , Kristin P Bennett , and Emilio Parrado-Hern\u00e1ndez . 2006 . Bayesian Network Learning with Parameter Constraints . Journal of machine learning research 7 , 7 (2006). Radu Stefan Niculescu, Tom M Mitchell, R Bharat Rao, Kristin P Bennett, and Emilio Parrado-Hern\u00e1ndez. 2006. Bayesian Network Learning with Parameter Constraints. Journal of machine learning research 7, 7 (2006).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_45_1","volume-title":"A functional and regulatory map of asthma. American journal of respiratory cell and molecular biology 38, 3","author":"Novershtern Noa","year":"2008","unstructured":"Noa Novershtern , Zohar Itzhaki , Ohad Manor , Nir Friedman , and Naftali Kaminski . 2008. A functional and regulatory map of asthma. American journal of respiratory cell and molecular biology 38, 3 ( 2008 ), 324--336. Noa Novershtern, Zohar Itzhaki, Ohad Manor, Nir Friedman, and Naftali Kaminski. 2008. A functional and regulatory map of asthma. American journal of respiratory cell and molecular biology 38, 3 (2008), 324--336."},{"key":"e_1_3_2_2_46_1","unstructured":"PACE. 2017. Partnership for an Advanced Computing Environment (PACE). http:\/\/www.pace.gatech.edu  PACE. 2017. Partnership for an Advanced Computing Environment (PACE). http:\/\/www.pace.gatech.edu"},{"key":"e_1_3_2_2_47_1","article-title":"MinReg: A scalable algorithm for learning parsimonious regulatory networks in yeast and mammals","volume":"7","author":"Pe'er Dana","year":"2006","unstructured":"Dana Pe'er , Amos Tanay , Aviv Regev , and Tommi Jaakkola . 2006 . MinReg: A scalable algorithm for learning parsimonious regulatory networks in yeast and mammals . Journal of Machine Learning Research 7 , 2 (2006). Dana Pe'er, Amos Tanay, Aviv Regev, and Tommi Jaakkola. 2006. MinReg: A scalable algorithm for learning parsimonious regulatory networks in yeast and mammals. Journal of Machine Learning Research 7, 2 (2006).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.suppl_1.S215"},{"key":"e_1_3_2_2_49_1","volume-title":"From signatures to models: understanding cancer using microarrays. Nature genetics 37, 6","author":"Segal Eran","year":"2005","unstructured":"Eran Segal , Nir Friedman , Naftali Kaminski , Aviv Regev , and Daphne Koller . 2005. From signatures to models: understanding cancer using microarrays. Nature genetics 37, 6 ( 2005 ), S38--S45. Eran Segal, Nir Friedman, Naftali Kaminski, Aviv Regev, and Daphne Koller. 2005. From signatures to models: understanding cancer using microarrays. Nature genetics 37, 6 (2005), S38--S45."},{"key":"e_1_3_2_2_50_1","volume-title":"A module map showing conditional activity of expression modules in cancer. Nature genetics 36, 10","author":"Segal Eran","year":"2004","unstructured":"Eran Segal , Nir Friedman , Daphne Koller , and Aviv Regev . 2004. A module map showing conditional activity of expression modules in cancer. Nature genetics 36, 10 ( 2004 ), 1090--1098. Eran Segal, Nir Friedman, Daphne Koller, and Aviv Regev. 2004. A module map showing conditional activity of expression modules in cancer. Nature genetics 36, 10 (2004), 1090--1098."},{"key":"e_1_3_2_2_51_1","volume-title":"Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence. 525--534","author":"Segal Eran","year":"2003","unstructured":"Eran Segal , Dana Pe'er , Aviv Regev , Daphne Koller , and Nir Friedman . 2003 . Learning Module Networks . In Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence. 525--534 . Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, and Nir Friedman. 2003. Learning Module Networks. In Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence. 525--534."},{"key":"e_1_3_2_2_52_1","article-title":"Learning module networks","volume":"6","author":"Segal Eran","year":"2005","unstructured":"Eran Segal , Dana Pe'er , Aviv Regev , Daphne Koller , Nir Friedman , and Tommi Jaakkola . 2005 . Learning module networks . Journal of Machine Learning Research 6 , 4 (2005). Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman, and Tommi Jaakkola. 2005. Learning module networks. Journal of Machine Learning Research 6, 4 (2005).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_53_1","volume-title":"Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nature genetics 34, 2","author":"Segal Eran","year":"2003","unstructured":"Eran Segal , Michael Shapira , Aviv Regev , Dana Pe'er , David Botstein , Daphne Koller , and Nir Friedman . 2003. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nature genetics 34, 2 ( 2003 ), 166--176. Eran Segal, Michael Shapira, Aviv Regev, Dana Pe'er, David Botstein, Daphne Koller, and Nir Friedman. 2003. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nature genetics 34, 2 (2003), 166--176."},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"crossref","unstructured":"Eran Segal Claude B Sirlin Clara Ooi Adam S Adler Jeremy Gollub Xin Chen Bryan K Chan George R Matcuk Christopher T Barry Howard Y Chang etal 2007. Decoding global gene expression programs in liver cancer by noninvasive imaging. Nature biotechnology 25 6 (2007) 675--680.  Eran Segal Claude B Sirlin Clara Ooi Adam S Adler Jeremy Gollub Xin Chen Bryan K Chan George R Matcuk Christopher T Barry Howard Y Chang et al. 2007. Decoding global gene expression programs in liver cancer by noninvasive imaging. Nature biotechnology 25 6 (2007) 675--680.","DOI":"10.1038\/nbt1306"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2009.12.018"},{"key":"e_1_3_2_2_56_1","unstructured":"Suraj Sharma. 2019. Performance comparison of Java and C++ when sorting integers and writing\/reading files.  Suraj Sharma. 2019. Performance comparison of Java and C++ when sorting integers and writing\/reading files."},{"key":"e_1_3_2_2_57_1","volume-title":"Melding the power of serious games and embedded assessment to monitor and foster learning. Serious games: Mechanisms and effects 2","author":"Shute Valerie J","year":"2009","unstructured":"Valerie J Shute , Matthew Ventura , Malcolm Bauer , and Diego Zapata-Rivera . 2009. Melding the power of serious games and embedded assessment to monitor and foster learning. Serious games: Mechanisms and effects 2 ( 2009 ), 295--321. Valerie J Shute, Matthew Ventura, Malcolm Bauer, and Diego Zapata-Rivera. 2009. Melding the power of serious games and embedded assessment to monitor and foster learning. Serious games: Mechanisms and effects 2 (2009), 295--321."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3833"},{"key":"e_1_3_2_2_59_1","volume-title":"Condition-specific modeling of biophysical parameters advances inference of regulatory networks. Cell reports 23, 2","author":"Tchourine Konstantine","year":"2018","unstructured":"Konstantine Tchourine , Christine Vogel , and Richard Bonneau . 2018. Condition-specific modeling of biophysical parameters advances inference of regulatory networks. Cell reports 23, 2 ( 2018 ), 376--388. Konstantine Tchourine, Christine Vogel, and Richard Bonneau. 2018. Condition-specific modeling of biophysical parameters advances inference of regulatory networks. Cell reports 23, 2 (2018), 376--388."},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.1105\/tpc.114.131417"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1039\/b908108a"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.5555\/1946417.1946434"}],"event":{"name":"SC '21: The International Conference for High Performance Computing, Networking, Storage and Analysis","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing","IEEE CS"],"location":"St. Louis Missouri","acronym":"SC '21"},"container-title":["Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3458817.3476207","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3458817.3476207","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3458817.3476207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:21Z","timestamp":1750191141000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3458817.3476207"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,13]]},"references-count":61,"alternative-id":["10.1145\/3458817.3476207","10.1145\/3458817"],"URL":"https:\/\/doi.org\/10.1145\/3458817.3476207","relation":{},"subject":[],"published":{"date-parts":[[2021,11,13]]},"assertion":[{"value":"2021-11-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}