{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:33:04Z","timestamp":1763458384238,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T00:00:00Z","timestamp":1494892800000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1547428, 1541434, 1440737, 1450996"],"award-info":[{"award-number":["1547428, 1541434, 1440737, 1450996"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002418","name":"Intel Corporation","doi-asserted-by":"publisher","award":["23903231"],"award-info":[{"award-number":["23903231"]}],"id":[{"id":"10.13039\/100002418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,5,16]]},"DOI":"10.1145\/2903150.2903176","type":"proceedings-article","created":{"date-parts":[[2016,6,2]],"date-time":"2016-06-02T15:23:42Z","timestamp":1464881022000},"page":"11-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Scalable 2D K-SVD parallel algorithm for dictionary learning on GPUs"],"prefix":"10.1145","author":[{"given":"Lu","family":"He","sequence":"first","affiliation":[{"name":"University of Massachusetts Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy","family":"Miskell","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyong","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huijuan","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Luo","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,5,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"e_1_3_2_1_2_1","volume-title":"A parallel k-svd implementation for ct image denoising","author":"Bartuschat D.","year":"2009","unstructured":"D. Bartuschat, A. Borsdorf, H. K\u00f6stler, R. Rubinstein, and M. St\u00fcrmer. A parallel k-svd implementation for ct image denoising. Fridrich-Alexander University, Erlangen, 2009."},{"key":"e_1_3_2_1_3_1","unstructured":"A. Bentbib and A. Kanber. Block power method for svd decomposition."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1137\/060657704"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.862083"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02678430"},{"key":"e_1_3_2_1_7_1","first-page":"1","volume-title":"Communications and Computing (ICSPCC), 2015 IEEE International Conference on","author":"Deng X.","year":"2015","unstructured":"X. Deng and Z. Liu. Image denoising based on steepest descent omp and k-svd. In Signal Processing, Communications and Computing (ICSPCC), 2015 IEEE International Conference on, pages 1--5. IEEE, 2015."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995478"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881969"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2006.02.002"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS.2011.158"},{"key":"e_1_3_2_1_12_1","first-page":"592","volume-title":"Signals and Image Processing (IWSSIP), 2012 19th International Conference on","author":"Horev I.","year":"2012","unstructured":"I. Horev, O. Bryt, and R. Rubinstein. Adaptive image compression using sparse dictionaries. In Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on, pages 592--595. IEEE, 2012."},{"key":"e_1_3_2_1_13_1","first-page":"271","volume-title":"Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European","author":"Irofti P.","year":"2014","unstructured":"P. Irofti and B. Dumitrescu. Gpu parallel implementation of the approximate k-svd algorithm using opencl. In Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, pages 271--275. IEEE, 2014."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995354"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976603762552951"},{"issue":"7","key":"e_1_3_2_1_16_1","first-page":"1277","article-title":"A dictionary learning approach for poisson image deblurring. Medical Imaging","volume":"32","author":"Ma L.","year":"2013","unstructured":"L. Ma, L. Moisan, J. Yu, and T. Zeng. A dictionary learning approach for poisson image deblurring. Medical Imaging, IEEE Transactions on, 32(7):1277--1289, 2013.","journal-title":"IEEE Transactions on"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539964"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2015.7252044"},{"key":"e_1_3_2_1_19_1","unstructured":"R. Rubinstein M. Zibulevsky and M. Elad. Efficient implementation of the k-svd algorithm and the batch-omp method. Department of Computer Science Technion Israel Tech. Rep 2008."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2015.1569"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946782"},{"key":"e_1_3_2_1_22_1","volume-title":"Tensor-based dictionary learning for dynamic tomographic reconstruction. Physics in medicine and biology, 60(7):2803","author":"Tan S.","year":"2015","unstructured":"S. Tan, Y. Zhang, G. Wang, X. Mou, G. Cao, Z. Wu, and H. Yu. Tensor-based dictionary learning for dynamic tomographic reconstruction. Physics in medicine and biology, 60(7):2803, 2015."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.909108"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2044470"},{"issue":"9","key":"e_1_3_2_1_25_1","first-page":"1682","article-title":"Low-dose x-ray ct reconstruction via dictionary learning. Medical Imaging","volume":"31","author":"Xu Q.","year":"2012","unstructured":"Q. Xu, H. Yu, X. Mou, L. Zhang, J. Hsieh, and G. Wang. Low-dose x-ray ct reconstruction via dictionary learning. Medical Imaging, IEEE Transactions on, 31(9):1682--1697, 2012.","journal-title":"IEEE Transactions on"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2277813"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.527"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539989"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2430359"},{"key":"e_1_3_2_1_31_1","volume-title":"Dual-dictionary learning-based iterative image reconstruction for spectral computed tomography application. Physics in medicine and biology, 57(24):8217","author":"Zhao B.","year":"2012","unstructured":"B. Zhao, H. Ding, Y. Lu, G. Wang, J. Zhao, and S. Molloi. Dual-dictionary learning-based iterative image reconstruction for spectral computed tomography application. Physics in medicine and biology, 57(24):8217, 2012."}],"event":{"name":"CF'16: Computing Frontiers Conference","sponsor":["Micron Foundation Micron Technology Foundation, Inc.","ACM Association for Computing Machinery","Politecnico di Milano Politecnico di Milano","SIGMICRO ACM Special Interest Group on Microarchitectural Research and Processing","IBM IBM"],"location":"Como Italy","acronym":"CF'16"},"container-title":["Proceedings of the ACM International Conference on Computing Frontiers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2903150.2903176","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2903150.2903176","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2903150.2903176","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:21:55Z","timestamp":1763457715000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2903150.2903176"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,5,16]]},"references-count":31,"alternative-id":["10.1145\/2903150.2903176","10.1145\/2903150"],"URL":"https:\/\/doi.org\/10.1145\/2903150.2903176","relation":{},"subject":[],"published":{"date-parts":[[2016,5,16]]},"assertion":[{"value":"2016-05-16","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}