{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T05:41:50Z","timestamp":1770529310160,"version":"3.49.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319990095","type":"print"},{"value":"9783319990101","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T00:00:00Z","timestamp":1535500800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-319-99010-1_16","type":"book-chapter","created":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T14:59:57Z","timestamp":1535554797000},"page":"179-188","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Multi-class Support Vector Machine Training and Classification Based on MPI-GPU Hybrid Parallel Architecture"],"prefix":"10.1007","author":[{"given":"I.","family":"Elgarhy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H.","family":"Khaled","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rania El","family":"Gohary","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H. M.","family":"Faheem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,29]]},"reference":[{"key":"16_CR1","unstructured":"NVIDIA Corporation: NVIDIA CUDA C Programming Guide (2010)"},{"key":"16_CR2","volume-title":"CUDA by Example: An Introduction to General-Purpose GPU Programming","author":"J Sanders","year":"2010","unstructured":"Sanders, J., Kandrot, E.: CUDA by Example: An Introduction to General-Purpose GPU Programming, 1st edn. Addison-Wesley Professional, Reading (2010)","edition":"1"},{"issue":"3","key":"16_CR3","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1504\/IJDMB.2015.069710","volume":"12","author":"H Khaled","year":"2015","unstructured":"Khaled, H., Faheem, H.M., El-Gohary, R.: Design and implementation of a hybrid MPI-CUDA model for the Smith\u2013Waterman algorithm. Int. J. Data Min. Bioinform. 12(3), 313\u2013327 (2015)","journal-title":"Int. J. Data Min. Bioinform."},{"key":"16_CR4","volume-title":"Rs\/6000 sp: Practical MPI Programming","author":"Y Aoyama","year":"1999","unstructured":"Aoyama, Y., Nakano, J., et al.: Rs\/6000 sp: Practical MPI Programming. IBM Poughkeepsie, New York (1999)"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Catanzaro, B., Sundaram, N., Keutzer, K.: Fast support vector machine training and classification on graphics processors. In: Proceedings of the 25th International Conference on Machine Learning, pp. 104\u2013111 (2008)","DOI":"10.1145\/1390156.1390170"},{"key":"16_CR6","unstructured":"Carlos, J., Ribeiro, B., Lopes, N.: Development of support vector machines (SVMs) in graphics processing units for pattern recognition (2012)"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Lopes, N., Ribeiro, B.: GPU machine learning library (GPUMLib). In: 2015 Machine Learning for Adaptive Many-Core Machines - A Practical Approach. Springer, Cham, pp. 15\u201336 (2015)","DOI":"10.1007\/978-3-319-06938-8_2"},{"issue":"3","key":"16_CR8","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 27:1\u201327:27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"3","key":"16_CR9","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1162\/089976601300014493","volume":"13","author":"SS Keerthi","year":"2001","unstructured":"Keerthi, S.S., Shevade, S.K., Bhattacharyya, C., Murthy, K.R.K.: Improvements to Platt\u2019s SMO algorithm for SVM classifier design. Neural Comput. 13(3), 637\u2013649 (2001)","journal-title":"Neural Comput."},{"issue":"3","key":"16_CR10","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"16_CR11","unstructured":"Platt, J.: Sequential minimal optimization: a fast algorithm for training support vector machines (1998)"},{"key":"16_CR12","first-page":"1889","volume":"6","author":"R-E Fan","year":"2005","unstructured":"Fan, R.-E., Chen, P.-H., Lin, C.-J.: Working set selection using second order \u0131nformation for training support vector machines. J. Mach. Learn. Res. 6, 1889\u20131918 (2005)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"16_CR13","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"C-W Hsu","year":"2002","unstructured":"Hsu, C.-W., Lin, C.-J.: A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Netw. 13(2), 415\u2013425 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"key":"16_CR14","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1126\/science.228.4704.1147","volume":"228","author":"AF Goetz","year":"1985","unstructured":"Goetz, A.F., Vane, G., Solomon, J.E., Rock, B.N.: Imaging spectrometry for earth remote sensing. Science 228, 1147\u20131153 (1985)","journal-title":"Science"},{"issue":"3","key":"16_CR15","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/S0034-4257(98)00064-9","volume":"65","author":"RO Green","year":"1998","unstructured":"Green, R.O., et al.: Imaging spectroscopy and the airborne visible\/\u0131nfrared \u0131maging spectrometer (AVIRIS). Remote Sens. Environ. 65(3), 227\u2013248 (1998)","journal-title":"Remote Sens. Environ."},{"issue":"10","key":"16_CR16","doi-asserted-by":"publisher","first-page":"4647","DOI":"10.1109\/JSTARS.2015.2453411","volume":"8","author":"K Tan","year":"2015","unstructured":"Tan, K., Zhang, J., Du, Q., Wang, X.: GPU parallel implementation of support vector machines for hyperspectral image classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 8(10), 4647\u20134656 (2015)","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99010-1_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T15:08:34Z","timestamp":1535555314000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99010-1_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,29]]},"ISBN":["9783319990095","9783319990101"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99010-1_16","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,29]]}}}