{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T04:42:57Z","timestamp":1769056977289,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,3,28]],"date-time":"2014-03-28T00:00:00Z","timestamp":1395964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,3,28]]},"DOI":"10.1145\/2638404.2638474","type":"proceedings-article","created":{"date-parts":[[2014,11,26]],"date-time":"2014-11-26T15:45:24Z","timestamp":1417016724000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["A survey of GPU accelerated SVM"],"prefix":"10.1145","author":[{"given":"Yunmei","family":"Lu","sequence":"first","affiliation":[{"name":"Georgia State University, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Georgia State University, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Han","sequence":"additional","affiliation":[{"name":"Georgia State University, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing (Selena)","family":"He","sequence":"additional","affiliation":[{"name":"Kennesaw State University, Kennesaw, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanqing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Georgia State University, Atlanta, GA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,3,28]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"GPU Acceleration for Support Vector Machines. In 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS","author":"Athanasopoulos A. D., V.","year":"2011","unstructured":"A. Athanasopoulos , A. D., V. Mezaris , I. Kompatsiaris 2011 . GPU Acceleration for Support Vector Machines. In 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), Delft, The Netherlands. A. Athanasopoulos, A. D., V. Mezaris, I. Kompatsiaris 2011. GPU Acceleration for Support Vector Machines. In 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), Delft, The Netherlands."},{"key":"#cr-split#-e_1_3_2_1_2_1.1","doi-asserted-by":"crossref","unstructured":"Blanz V. Sch\u00f6lkopf B. B\u00fclthoff H. Burges C. Vapnik V. and Vetter T. 1996. Comparison of view-based object recognition algorithms using realistic 3D models. In Artificial Neural Networks -- ICANN 96 C. Malsburg W. Seelen J. Vorbr\u00fcggen and B. Sendhoff Eds. Springer Berlin Heidelberg 251--256. DOI= http:\/\/dx.doi.org\/10.1007\/3-540-61510-5_45. 10.1007\/3-540-61510-5_45","DOI":"10.1007\/3-540-61510-5_45"},{"key":"#cr-split#-e_1_3_2_1_2_1.2","doi-asserted-by":"crossref","unstructured":"Blanz V. Sch\u00f6lkopf B. B\u00fclthoff H. Burges C. Vapnik V. and Vetter T. 1996. Comparison of view-based object recognition algorithms using realistic 3D models. In Artificial Neural Networks -- ICANN 96 C. Malsburg W. Seelen J. Vorbr\u00fcggen and B. Sendhoff Eds. Springer Berlin Heidelberg 251--256. DOI= http:\/\/dx.doi.org\/10.1007\/3-540-61510-5_45.","DOI":"10.1007\/3-540-61510-5_45"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"e_1_3_2_1_4_1","unstructured":"Burges C. J. C. and Scholkopf B. 1997. Improving the Accuracy and Speed of Support Vector Machines. In Advances in Neural Information Processing Systems 9 MIT Press 375--381.  Burges C. J. C. and Scholkopf B. 1997. Improving the Accuracy and Speed of Support Vector Machines. In Advances in Neural Information Processing Systems 9 MIT Press 375--381."},{"key":"e_1_3_2_1_5_1","volume-title":"CUSVM: A Cuda Implementation of Support Vector Classification and Regression","author":"Carpenter A.","year":"2009","unstructured":"Carpenter , A. , 2009 . CUSVM: A Cuda Implementation of Support Vector Classification and Regression . http:\/\/patternsonascreen.net\/cuSVM.html. Carpenter, A., 2009. CUSVM: A Cuda Implementation of Support Vector Classification and Regression. http:\/\/patternsonascreen.net\/cuSVM.html."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390170"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022627411411"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1194907"},{"key":"e_1_3_2_1_9_1","volume-title":"Another approach to polychotomous classification. Department of Statistics","author":"Friedman J. H.","unstructured":"Friedman , J. H. , 1996. Another approach to polychotomous classification. Department of Statistics , Stanford University . Friedman, J. H., 1996. Another approach to polychotomous classification. Department of Statistics, Stanford University."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1735688.1735692"},{"key":"e_1_3_2_1_11_1","volume-title":"Machine Learning: ECML-98","author":"Joachims T.","unstructured":"Joachims , T. , 1998. Text categorization with Support Vector Machines: Learning with many relevant features . In Machine Learning: ECML-98 , C. N\u00e9dellec and C. Rouveirol Eds. Springer Berlin Heidelberg , 137--142. DOI= http:\/\/dx.doi.org\/10.1007\/BFb0026683. 10.1007\/BFb0026683 Joachims, T., 1998. Text categorization with Support Vector Machines: Learning with many relevant features. In Machine Learning: ECML-98, C. N\u00e9dellec and C. Rouveirol Eds. Springer Berlin Heidelberg, 137--142. DOI= http:\/\/dx.doi.org\/10.1007\/BFb0026683."},{"key":"e_1_3_2_1_12_1","volume-title":"Advances in kernel methods","author":"Joachims T.","unstructured":"Joachims , T. , 1999. Making large-scale support vector machine learning practical . In Advances in kernel methods MIT Press , 169--184. Joachims, T., 1999. Making large-scale support vector machine learning practical. In Advances in kernel methods MIT Press, 169--184."},{"key":"e_1_3_2_1_13_1","volume-title":"Advances in kernel methods","author":"Kaufman L.","unstructured":"Kaufman , L. , 1999. Solving the quadratic programming problem arising in support vector classification . In Advances in kernel methods MIT Press , 147--167. Kaufman, L., 1999. Solving the quadratic programming problem arising in support vector classification. In Advances in kernel methods MIT Press, 147--167."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976601300014493"},{"key":"e_1_3_2_1_15_1","volume-title":"Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on, 1131--1135","author":"Li Q.","year":"2010","unstructured":"Li , Q. , Salman , R. , and Kecman , V ., 2010. An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU . In Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on, 1131--1135 . DOI= http:\/\/dx.doi.org\/10.1109\/isda. 2010 .5687033. 10.1109\/isda.2010.5687033 Li, Q., Salman, R., and Kecman, V., 2010. An intelligent system for accelerating parallel SVM classification problems on large datasets using GPU. In Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on, 1131--1135. DOI= http:\/\/dx.doi.org\/10.1109\/isda.2010.5687033."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2012.02.011"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1021\/ci900337f"},{"key":"e_1_3_2_1_18_1","unstructured":"LIBSVM 2013. http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm\/  LIBSVM 2013. http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm\/"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2010.53"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.788643"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1365490.1365500"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the 1997 IEEE Workshop, 276--285","author":"Osuna E.","unstructured":"Osuna , E. , Freund , R. , and Girosi , F ., 1997. An improved training algorithm for support vector machines. In Neural Networks for Signal Processing {1997} VII . Proceedings of the 1997 IEEE Workshop, 276--285 . DOI= http:\/\/dx.doi.org\/10.1109\/nnsp.1997.622408. 10.1109\/nnsp.1997.622408 Osuna, E., Freund, R., and Girosi, F., 1997. An improved training algorithm for support vector machines. In Neural Networks for Signal Processing {1997} VII. Proceedings of the 1997 IEEE Workshop, 276--285. DOI= http:\/\/dx.doi.org\/10.1109\/nnsp.1997.622408."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/794189.794466"},{"key":"e_1_3_2_1_24_1","first-page":"119","article-title":". CUDA-Accelerated SVM for Celestial Object Classification","volume":"442","author":"Peng N. B.","year":"2011","unstructured":"Peng , N. B. , Zhang , Y. X. , and Zhao , Y. H. , 2011 . CUDA-Accelerated SVM for Celestial Object Classification . Astronomical Data Analysis Software and Systems Xx 442 , 119 -- 122 . Peng, N. B., Zhang, Y. X., and Zhao, Y. H., 2011. CUDA-Accelerated SVM for Celestial Object Classification. Astronomical Data Analysis Software and Systems Xx 442, 119--122.","journal-title":"Astronomical Data Analysis Software and Systems Xx"},{"key":"e_1_3_2_1_25_1","volume-title":"Advances in kernel methods","author":"Platt J. C.","unstructured":"Platt , J. C. , 1999. Fast training of support vector machines using sequential minimal optimization . In Advances in kernel methods MIT Press , 185--208. Platt, J. C., 1999. Fast training of support vector machines using sequential minimal optimization. In Advances in kernel methods MIT Press, 185--208."},{"key":"e_1_3_2_1_26_1","unstructured":"Saunders R. Stitson C. Weston J. Bottou L. Scholkopf B. and Smola A. 1998. Support Vector Machine reference manual.  Saunders R. Stitson C. Weston J. Bottou L. Scholkopf B. and Smola A. 1998. Support Vector Machine reference manual."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1996.540301"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Scholkopf B. Burges C. and Vapnik V. 1996. Incorporating Invariances in Support Vector Learning Machines Springer 47--52.   Scholkopf B. Burges C. and Vapnik V. 1996. Incorporating Invariances in Support Vector Learning Machines Springer 47--52.","DOI":"10.1007\/3-540-61510-5_12"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29347-4_51"},{"key":"e_1_3_2_1_30_1","volume-title":"Estimation of Dependences Based on Empirical Data","author":"Vapnik V. N.","unstructured":"Vapnik , V. N. , 1982. Estimation of Dependences Based on Empirical Data . Springer Verlag , New York . Vapnik, V. N., 1982. Estimation of Dependences Based on Empirical Data. Springer Verlag, New York."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/211359"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2011.5940411"},{"key":"e_1_3_2_1_33_1","unstructured":"Yugov. V. and Kumazawa. I. 2013. Combination of SVM and FERN for GPU-assisted texture recognition on mobile devices ACSIJ Advances in Computer Science: an International Journal 2 3 (July).  Yugov. V. and Kumazawa. I. 2013. Combination of SVM and FERN for GPU-assisted texture recognition on mobile devices ACSIJ Advances in Computer Science: an International Journal 2 3 (July)."},{"key":"e_1_3_2_1_34_1","volume-title":"Computational Methods. In J. Abadie Ed, Integer and Nonlinear Programming","author":"Zoutendijk G.","unstructured":"Zoutendijk , G. , 1970. Nonlinear Programming , Computational Methods. In J. Abadie Ed, Integer and Nonlinear Programming , Amsterdam : North-Holland , 37--86. Zoutendijk, G., 1970. Nonlinear Programming, Computational Methods. In J. Abadie Ed, Integer and Nonlinear Programming, Amsterdam: North-Holland, 37--86."}],"event":{"name":"ACM SE '14: ACM Southeast Regional Conference 2014","location":"Kennesaw Georgia","acronym":"ACM SE '14"},"container-title":["Proceedings of the 2014 ACM Southeast Regional Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2638404.2638474","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2638404.2638474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:26:12Z","timestamp":1750278372000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2638404.2638474"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,28]]},"references-count":35,"alternative-id":["10.1145\/2638404.2638474","10.1145\/2638404"],"URL":"https:\/\/doi.org\/10.1145\/2638404.2638474","relation":{},"subject":[],"published":{"date-parts":[[2014,3,28]]},"assertion":[{"value":"2014-03-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}