{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:47:17Z","timestamp":1743036437662,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030801250"},{"type":"electronic","value":"9783030801267"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-80126-7_50","type":"book-chapter","created":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T11:11:23Z","timestamp":1625569883000},"page":"712-724","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Accelerating Deep Convolutional Neural on GPGPU"],"prefix":"10.1007","author":[{"given":"Dominik","family":"\u017burek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Pietro\u0144","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazimierz","family":"Wiatr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,7]]},"reference":[{"key":"50_CR1","doi-asserted-by":"crossref","unstructured":"Ad\u00e1mek, K., Dimoudi, S., Giles, M., Armour, W.: GPU fast convolution via the overlap-and-save method in shared memory (2019)","DOI":"10.1145\/3394116"},{"key":"50_CR2","doi-asserted-by":"crossref","unstructured":"Al-Hami, M., Pietron, M., Casas, R., Wielgosz, M.: Methodologies of compressing a stable performance convolutional neural networks in image classification, January 2020","DOI":"10.1007\/s11063-019-10076-y"},{"key":"50_CR3","unstructured":"Chen, X.: Escoin: efficient sparse convolutional neural network inference on GPUs (2018)"},{"key":"50_CR4","unstructured":"Chetlur, S., et al.: cuDNN: efficient primitives for deep learning (2014)"},{"key":"50_CR5","doi-asserted-by":"crossref","unstructured":"Dongarra, J.J., Hammarling, S., Higham, N.J., Relton, S.D., Valero-Lara, P., Zounon, M.: The design and performance of batched BLAS on modern high-performance computing systems. In: ICCS (2017)","DOI":"10.1016\/j.procs.2017.05.138"},{"key":"50_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"50_CR7","doi-asserted-by":"publisher","first-page":"70461","DOI":"10.1109\/ACCESS.2019.2918851","volume":"7","author":"M Jord\u00e0","year":"2019","unstructured":"Jord\u00e0, M., Valero-Lara, P., Pe\u00f1a, A.J.: Performance evaluation of cuDNN convolution algorithms on NVIDIA Volta GPUs. IEEE Access 7, 70461\u201370473 (2019)","journal-title":"IEEE Access"},{"key":"50_CR8","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar, pp. 1746\u20131751. Association for Computational Linguistics, October 2014","DOI":"10.3115\/v1\/D14-1181"},{"key":"50_CR9","first-page":"01","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: Imagenet classification with deep convolutional neural networks. Neural Inf. Process. Syst. 25, 01 (2012)","journal-title":"Neural Inf. Process. Syst."},{"issue":"6","key":"50_CR10","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","journal-title":"Commun. ACM"},{"key":"50_CR11","doi-asserted-by":"crossref","unstructured":"Lavin, A., Gray, S.: Fast algorithms for convolutional neural networks. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4013\u20134021 (2016)","DOI":"10.1109\/CVPR.2016.435"},{"issue":"10","key":"50_CR12","doi-asserted-by":"publisher","first-page":"4843","DOI":"10.1109\/TIP.2017.2725580","volume":"26","author":"H Lee","year":"2017","unstructured":"Lee, H., Kwon, H.: Going deeper with contextual CNN for hyperspectral image classification. IEEE Trans. Image Process. 26(10), 4843\u20134855 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"50_CR13","unstructured":"Liu, B., Wang, M., Foroosh, H., Tappen, M., Pensky, M.: Sparse convolutional neural networks, pp. 806\u2013814 (2015)"},{"key":"50_CR14","doi-asserted-by":"crossref","unstructured":"Lu, L., Liang, Y.: SpWA: an efficient sparse winograd convolutional neural networks accelerator on FPGAs. In: 2018 55th ACM\/ESDA\/IEEE Design Automation Conference (DAC), pp. 1\u20136 (2018)","DOI":"10.1109\/DAC.2018.8465842"},{"key":"50_CR15","unstructured":"Park, J., et al.: Faster CNNs with direct sparse convolutions and guided pruning (2016)"},{"key":"50_CR16","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: EMNLP, vol. 14, pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"50_CR17","unstructured":"Ramachandran, P., Zoph, B., Le, Q.V.: Searching for activation functions. CoRR, abs\/1710.05941 (2017)"},{"key":"50_CR18","first-page":"06","volume":"39","author":"S Ren","year":"2015","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39, 06 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"50_CR19","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556 (2014)"},{"key":"50_CR20","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"50_CR21","doi-asserted-by":"crossref","unstructured":"Winograd, S.: Arithmetic Complexity of Computations. CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics (1980)","DOI":"10.1137\/1.9781611970364"},{"key":"50_CR22","doi-asserted-by":"crossref","unstructured":"Wr\u00f3bel, K., Karwatowski, M., Wielgosz, M., Pietro\u0144, M., Wiatr, K.: Compression of convolutional neural network for natural language processing. Comput. Sci. 21(1) (2020)","DOI":"10.7494\/csci.2020.21.1.3375"},{"key":"50_CR23","unstructured":"Yin, W., Kann, K., Yu, M., Sch\u00fctze, H.: Comparative study of CNN and RNN for natural language processing (2017)"},{"key":"50_CR24","unstructured":"Zhu, F., Pool, J., Andersch, M., Appleyard, J., Xie, F.: Sparse persistent RNNs: squeezing large recurrent networks on-chip (2018)"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80126-7_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T11:40:58Z","timestamp":1625571658000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80126-7_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030801250","9783030801267"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80126-7_50","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}