{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T19:35:26Z","timestamp":1768160126469,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T00:00:00Z","timestamp":1570838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Spanish State Research Agency"},{"name":"Fundacion carolina"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,12]]},"DOI":"10.1145\/3352460.3358309","type":"proceedings-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T11:16:45Z","timestamp":1570792605000},"page":"782-793","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Neuron-Level Fuzzy Memoization in RNNs"],"prefix":"10.1145","author":[{"given":"Franyell","family":"Silfa","sequence":"first","affiliation":[{"name":"Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain"}]},{"given":"Gem","family":"Dot","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain"}]},{"given":"Jose-Maria","family":"Arnau","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain"}]},{"given":"Antonio","family":"Gonz\u00e0lez","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e8cnica de Catalunya, Barcelona, Spain"}]}],"member":"320","published-online":{"date-parts":[[2019,10,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Chris Olah","author":"Abadi Mart\u00edn","unstructured":"Mart\u00edn Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal J\u00f3zefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Man\u00e9, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Vi\u00e9gas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs\/1603.04467 (2016). http:\/\/arxiv.org\/abs\/1603.04467"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/640128.604133"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/377792.377835"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2005.119"},{"key":"e_1_3_2_1_5_1","volume-title":"Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs\/1512.02595","author":"Amodei Dario","year":"2015","unstructured":"Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, and Zhenyao Zhu. 2015. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs\/1512.02595 (2015). arXiv:1512.02595 http:\/\/arxiv.org\/abs\/1512.02595"},{"key":"e_1_3_2_1_6_1","volume-title":"Berg","author":"Anderson Alexander G.","year":"2017","unstructured":"Alexander G. Anderson and Cory P. Berg. 2017. The High-Dimensional Geometry of Binary Neural Networks. CoRR abs\/1705.07199 (2017). arXiv:1705.07199 http:\/\/arxiv.org\/abs\/1705.07199"},{"key":"e_1_3_2_1_7_1","volume-title":"Optimizing Performance of Recurrent Neural Networks on GPUs. arXiv preprint arXiv:1604.01946","author":"Appleyard Jeremy","year":"2016","unstructured":"Jeremy Appleyard, Tomas Kocisky, and Phil Blunsom. 2016. Optimizing Performance of Recurrent Neural Networks on GPUs. arXiv preprint arXiv:1604.01946 (2016)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2014.6853207"},{"key":"e_1_3_2_1_9_1","volume-title":"Le","author":"Britz Denny","year":"2017","unstructured":"Denny Britz, Anna Goldie, Minh-Thang Luong, and Quoc V. Le. 2017. Massive Exploration of Neural Machine Translation Architectures. CoRR abs\/1703.03906 (2017). http:\/\/arxiv.org\/abs\/1703.03906"},{"key":"e_1_3_2_1_10_1","volume-title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. CoRR abs\/1406.1078","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho, Bart van Merrienboer, \u00c7aglar G\u00fcl\u00e7ehre, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. CoRR abs\/1406.1078 (2014). arXiv:1406.1078 http:\/\/arxiv.org\/abs\/1406.1078"},{"key":"e_1_3_2_1_11_1","volume-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1. arXiv preprint arXiv:1602.02830","author":"Courbariaux Matthieu","year":"2016","unstructured":"Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2016. Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1. arXiv preprint arXiv:1602.02830 (2016)."},{"key":"e_1_3_2_1_12_1","volume-title":"Le","author":"Dai Andrew M.","year":"2015","unstructured":"Andrew M. Dai and Quoc V. Le. 2015. Semi-supervised Sequence Learning. CoRR abs\/1511.01432 (2015). http:\/\/arxiv.org\/abs\/1511.01432"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2000.861302"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Antonio Gonz\u00e1lez Jordi Tubella and Carlos Molina-Clemente. 1999. Trace-Level Reuse. In ICPP. 30--.","DOI":"10.1109\/ICPP.1999.797385"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"e_1_3_2_1_16_1","volume-title":"LSTM: A search space odyssey","author":"Greff Klaus","year":"2016","unstructured":"Klaus Greff, Rupesh K Srivastava, Jan Koutn\u00edk, Bas R Steunebrink, and J\u00fcrgen Schmidhuber. 2016. LSTM: A search space odyssey. IEEE transactions on neural networks and learning systems (2016)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASPDAC.2017.7858394"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021745"},{"key":"e_1_3_2_1_19_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"e_1_3_2_1_21_1","volume-title":"Bitwise neural networks. arXiv preprint arXiv:1601.06071","author":"Kim Minje","year":"2016","unstructured":"Minje Kim and Paris Smaragdis. 2016. Bitwise neural networks. arXiv preprint arXiv:1601.06071 (2016)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS.2016.48"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2015.50"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404790"},{"key":"e_1_3_2_1_25_1","unstructured":"Micron Inc. [n. d.]. TN-53-01: LPDDR4 System Power Calculator. https:\/\/www.micron.com\/support\/tools-and-utilities\/power-calc."},{"key":"e_1_3_2_1_26_1","volume-title":"A tool to model large caches. HP Laboratories","author":"Muralimanohar Naveen","year":"2009","unstructured":"Naveen Muralimanohar, Rajeev Balasubramonian, and Norman P Jouppi. 2009. CACTI 6.0: A tool to model large caches. HP Laboratories (2009), 22--31."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2018.00016"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243176.3243184"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/264107.264200"},{"key":"e_1_3_2_1_32_1","volume-title":"Show and Tell: A Neural Image Caption Generator. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Vinyals Oriol","year":"2015","unstructured":"Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2015. Show and Tell: A Neural Image Caption Generator. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_33_1","volume-title":"Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. CoRR abs\/1609.06647","author":"Vinyals Oriol","year":"2016","unstructured":"Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2016. Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. CoRR abs\/1609.06647 (2016). http:\/\/arxiv.org\/abs\/1609.06647"},{"key":"e_1_3_2_1_34_1","unstructured":"Yonghui Wu Mike Schuster Zhifeng Chen Quoc V Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey et al. 2016. Google's neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144 (2016)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1251535.1251548"},{"key":"e_1_3_2_1_36_1","volume-title":"Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE '15)","author":"Zhang Qian","year":"2015","unstructured":"Qian Zhang, Ting Wang, Ye Tian, Feng Yuan, and Qiang Xu. 2015. Approx-ANN: An Approximate Computing Framework for Artificial Neural Network. In Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE '15). EDA Consortium, San Jose, CA, USA, 701--706. http:\/\/dl.acm.org\/citation.cfm?id=2755753.2755913"}],"event":{"name":"MICRO '52: The 52nd Annual IEEE\/ACM International Symposium on Microarchitecture","location":"Columbus OH USA","acronym":"MICRO '52","sponsor":["SIGMICRO ACM Special Interest Group on Microarchitectural Research and Processing","IEEE CS"]},"container-title":["Proceedings of the 52nd Annual IEEE\/ACM International Symposium on Microarchitecture"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3352460.3358309","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3352460.3358309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T22:29:52Z","timestamp":1753828192000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3352460.3358309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,12]]},"references-count":36,"alternative-id":["10.1145\/3352460.3358309","10.1145\/3352460"],"URL":"https:\/\/doi.org\/10.1145\/3352460.3358309","relation":{},"subject":[],"published":{"date-parts":[[2019,10,12]]},"assertion":[{"value":"2019-10-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}