{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:30:33Z","timestamp":1781886633560,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T00:00:00Z","timestamp":1654905600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"name":"DARPA","award":["HR0011-21-C-0035"],"award-info":[{"award-number":["HR0011-21-C-0035"]}]},{"name":"Wistron Corporation"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,18]]},"DOI":"10.1145\/3470496.3527393","type":"proceedings-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T19:06:01Z","timestamp":1654023961000},"page":"173-187","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":177,"title":["CraterLake"],"prefix":"10.1145","author":[{"given":"Nikola","family":"Samardzic","sequence":"first","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Axel","family":"Feldmann","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandar","family":"Krastev","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nathan","family":"Manohar","sequence":"additional","affiliation":[{"name":"IBM T.J. Watson"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas","family":"Genise","sequence":"additional","affiliation":[{"name":"SRI International"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srinivas","family":"Devadas","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karim","family":"Eldefrawy","sequence":"additional","affiliation":[{"name":"SRI International"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chris","family":"Peikert","sequence":"additional","affiliation":[{"name":"University of Michigan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Sanchez","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,6,11]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2020. HEAAN software library. https:\/\/github.com\/snucrypto\/HEAAN.  2020. HEAAN software library. https:\/\/github.com\/snucrypto\/HEAAN."},{"key":"e_1_3_2_1_2_1","unstructured":"2020. Lattigo. https:\/\/github.com\/ldsec\/lattigo.  2020. Lattigo. https:\/\/github.com\/ldsec\/lattigo."},{"key":"e_1_3_2_1_3_1","article-title":"Implementation and performance evaluation of RNS variants of the BFV homomorphic encryption scheme","volume":"9","author":"Ahmad Al Badawi Ahmad Qaisar","year":"2021","unstructured":"Ahmad Qaisar Ahmad Al Badawi , Yuriy Polyakov , Khin Mi Mi Aung , Bharadwaj Veeravalli , and Kurt Rohloff . 2021 . Implementation and performance evaluation of RNS variants of the BFV homomorphic encryption scheme . IEEE Transactions on Emerging Topics in Computing 9 , 2 (2021). Ahmad Qaisar Ahmad Al Badawi, Yuriy Polyakov, Khin Mi Mi Aung, Bharadwaj Veeravalli, and Kurt Rohloff. 2021. Implementation and performance evaluation of RNS variants of the BFV homomorphic encryption scheme. IEEE Transactions on Emerging Topics in Computing 9, 2 (2021).","journal-title":"IEEE Transactions on Emerging Topics in Computing"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98113-0_19"},{"key":"e_1_3_2_1_6_1","volume-title":"University of California","author":"Krste Asanovic. 1998. Vector Microprocessors. Ph.D. Dissertation. EECS Department","unstructured":"Krste Asanovic. 1998. Vector Microprocessors. Ph.D. Dissertation. EECS Department , University of California , Berkeley . Krste Asanovic. 1998. Vector Microprocessors. Ph.D. Dissertation. EECS Department, University of California, Berkeley."},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the International Conference on Selected Areas in Cryptography (SAC).","author":"Bajard Jean-Claude","year":"2016","unstructured":"Jean-Claude Bajard , Julien Eynard , M Anwar Hasan , and Vincent Zucca . 2016 . A full RNS variant of FV-like somewhat homomorphic encryption schemes . In Proceedings of the International Conference on Selected Areas in Cryptography (SAC). Jean-Claude Bajard, Julien Eynard, M Anwar Hasan, and Vincent Zucca. 2016. A full RNS variant of FV-like somewhat homomorphic encryption schemes. In Proceedings of the International Conference on Selected Areas in Cryptography (SAC)."},{"key":"e_1_3_2_1_8_1","volume-title":"A study of replacement algorithms for a virtual-storage computer. IBM Systems journal 5, 2","author":"Belady Laszlo A.","year":"1966","unstructured":"Laszlo A. Belady . 1966. A study of replacement algorithms for a virtual-storage computer. IBM Systems journal 5, 2 ( 1966 ). Laszlo A. Belady. 1966. A study of replacement algorithms for a virtual-storage computer. IBM Systems journal 5, 2 (1966)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3039686.3039846"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93387-0_21"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77870-5_21"},{"key":"e_1_3_2_1_12_1","article-title":"(Leveled) fully homomorphic encryption without bootstrapping","volume":"6","author":"Brakerski Zvika","year":"2014","unstructured":"Zvika Brakerski , Craig Gentry , and Vinod Vaikuntanathan . 2014 . (Leveled) fully homomorphic encryption without bootstrapping . ACM Transactions on Computation Theory (TOCT) 6 , 3 (2014). Zvika Brakerski, Craig Gentry, and Vinod Vaikuntanathan. 2014. (Leveled) fully homomorphic encryption without bootstrapping. ACM Transactions on Computation Theory (TOCT) 6, 3 (2014).","journal-title":"ACM Transactions on Computation Theory (TOCT)"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the International Conference on Machine Learning (ICML).","author":"Brutzkus Alon","year":"2019","unstructured":"Alon Brutzkus , Ran Gilad-Bachrach , and Oren Elisha . 2019 . Low latency privacy preserving inference . In Proceedings of the International Conference on Machine Learning (ICML). Alon Brutzkus, Ran Gilad-Bachrach, and Oren Elisha. 2019. Low latency privacy preserving inference. In Proceedings of the International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17656-3_2"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134061"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70694-8_15"},{"key":"e_1_3_2_1_17_1","volume-title":"NVIDIA A100 Tensor Core GPU: Performance and innovation","author":"Choquette Jack","year":"2021","unstructured":"Jack Choquette , Wishwesh Gandhi , Olivier Giroux , Nick Stam , and Ronny Krashinsky . 2021. NVIDIA A100 Tensor Core GPU: Performance and innovation . IEEE Micro 41, 2 ( 2021 ). Jack Choquette, Wishwesh Gandhi, Olivier Giroux, Nick Stam, and Ronny Krashinsky. 2021. NVIDIA A100 Tensor Core GPU: Performance and innovation. IEEE Micro 41, 2 (2021)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2014.7040950"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2012.6408672"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2016.2619669"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC19947.2020.9062947"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3385412.3386023"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314628"},{"key":"e_1_3_2_1_24_1","article-title":"Accelerating fully homomorphic encryption in hardware","volume":"64","author":"Dor\u00f6z Yarkin","year":"2015","unstructured":"Yarkin Dor\u00f6z , Erding \u00d6zt\u00fcrk , and Berk Sunar . 2015 . Accelerating fully homomorphic encryption in hardware . IEEE Trans. Comput. 64 , 6 (2015). Yarkin Dor\u00f6z, Erding \u00d6zt\u00fcrk, and Berk Sunar. 2015. Accelerating fully homomorphic encryption in hardware. IEEE Trans. Comput. 64, 6 (2015).","journal-title":"IEEE Trans. Comput."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the 54th annual IEEE\/ACM international symposium on Microarchitecture (MICRO-54)","author":"Feldmann Axel","year":"2021","unstructured":"Axel Feldmann , Nikola Samardzic , Aleksandar Krastev , Srini Devadas , Ron Dreslinski , Christopher Peikert , and Daniel Sanchez . 2021 . F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption . In Proceedings of the 54th annual IEEE\/ACM international symposium on Microarchitecture (MICRO-54) . Axel Feldmann, Nikola Samardzic, Aleksandar Krastev, Srini Devadas, Ron Dreslinski, Christopher Peikert, and Daniel Sanchez. 2021. F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption. In Proceedings of the 54th annual IEEE\/ACM international symposium on Microarchitecture (MICRO-54)."},{"key":"e_1_3_2_1_26_1","volume-title":"Western Joint Computer Conference.","author":"Garner Harvey L","year":"1959","unstructured":"Harvey L Garner . 1959 . The residue number system. In Papers presented at the the March 3--5, 1959 , Western Joint Computer Conference. Harvey L Garner. 1959. The residue number system. In Papers presented at the the March 3--5, 1959, Western Joint Computer Conference."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36033-7_17"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32009-5_49"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40041-4_5"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the International Conference on Machine Learning (ICML).","author":"Gilad-Bachrach Ran","year":"2016","unstructured":"Ran Gilad-Bachrach , Nathan Dowlin , Kim Laine , Kristin Lauter , Michael Naehrig , and John Wernsing . 2016 . CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy . In Proceedings of the International Conference on Machine Learning (ICML). Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing. 2016. CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy. In Proceedings of the International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96884-1_4"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00145-020-09368-7"},{"key":"e_1_3_2_1_35_1","volume-title":"Jung Hee Cheon, and Daejun Park","author":"Han Kyoohyung","year":"2018","unstructured":"Kyoohyung Han , Seungwan Hong , Jung Hee Cheon, and Daejun Park . 2018 . Efficient Logistic Regression on Large Encrypted Data. Cryptology ePrint Archive, Report 2018\/662. Kyoohyung Han, Seungwan Hong, Jung Hee Cheon, and Daejun Park. 2018. Efficient Logistic Regression on Large Encrypted Data. Cryptology ePrint Archive, Report 2018\/662."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019466"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00050"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31578-8_2"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702297"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"e_1_3_2_1_42_1","volume-title":"Jung Hee Cheon, and Younho Lee.","author":"Jung Wonkyung","year":"2021","unstructured":"Wonkyung Jung , Sangpyo Kim , Jung Ho Ahn , Jung Hee Cheon, and Younho Lee. 2021 . Over 100x faster bootstrapping in fully homomorphic encryption through memory-centric optimization with GPUs. IACR Transactions on Cryptographic Hardware and Embedded Systems (CHES) ( 2021). Wonkyung Jung, Sangpyo Kim, Jung Ho Ahn, Jung Hee Cheon, and Younho Lee. 2021. Over 100x faster bootstrapping in fully homomorphic encryption through memory-centric optimization with GPUs. IACR Transactions on Cryptographic Hardware and Embedded Systems (CHES) (2021)."},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the 27th USENIX Security Symposium (USENIX Security 18)","author":"Juvekar Chiraag","year":"2018","unstructured":"Chiraag Juvekar , Vinod Vaikuntanathan , and Anantha Chandrakasan . 2018 . GAZELLE: A low latency framework for secure neural network inference . In Proceedings of the 27th USENIX Security Symposium (USENIX Security 18) . Chiraag Juvekar, Vinod Vaikuntanathan, and Anantha Chandrakasan. 2018. GAZELLE: A low latency framework for secure neural network inference. In Proceedings of the 27th USENIX Security Symposium (USENIX Security 18)."},{"key":"e_1_3_2_1_44_1","volume-title":"Semi-parallel logistic regression for GWAS on encrypted data. BMC Medical Genomics 13, 7","author":"Kim Miran","year":"2020","unstructured":"Miran Kim , Yongsoo Song , Baiyu Li , and Daniele Micciancio . 2020. Semi-parallel logistic regression for GWAS on encrypted data. BMC Medical Genomics 13, 7 ( 2020 ). Miran Kim, Yongsoo Song, Baiyu Li, and Daniele Micciancio. 2020. Semi-parallel logistic regression for GWAS on encrypted data. BMC Medical Genomics 13, 7 (2020)."},{"key":"e_1_3_2_1_46_1","volume-title":"Proc. IEEE 86","author":"Lecun Y.","year":"1998","unstructured":"Y. Lecun , L. Bottou , Y. Bengio , and P. Haffner . 1998. Gradient-based learning applied to document recognition . Proc. IEEE 86 , 11 ( 1998 ). Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. 1998. Gradient-based learning applied to document recognition. Proc. IEEE 86, 11 (1998)."},{"key":"e_1_3_2_1_47_1","volume-title":"Precise approximation of convolutional neural networks for homomorphically encrypted data. arXiv preprint arXiv:2105.10879","author":"Lee Junghyun","year":"2021","unstructured":"Junghyun Lee , Eunsang Lee , Joon-Woo Lee , Yongjune Kim , Young-Sik Kim , and Jong-Seon No. 2021. Precise approximation of convolutional neural networks for homomorphically encrypted data. arXiv preprint arXiv:2105.10879 ( 2021 ). Junghyun Lee, Eunsang Lee, Joon-Woo Lee, Yongjune Kim, Young-Sik Kim, and Jong-Seon No. 2021. Precise approximation of convolutional neural networks for homomorphically encrypted data. arXiv preprint arXiv:2105.10879 (2021)."},{"key":"e_1_3_2_1_48_1","unstructured":"Joon-Woo Lee HyungChul Kang Yongwoo Lee Woosuk Choi Jieun Eom Maxim Deryabin Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim etal 2021. Privacy-preserving machine learning with fully homomorphic encryption for deep neural network. arXiv preprint arXiv:2106.07229 (2021).  Joon-Woo Lee HyungChul Kang Yongwoo Lee Woosuk Choi Jieun Eom Maxim Deryabin Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim et al. 2021. Privacy-preserving machine learning with fully homomorphic encryption for deep neural network. arXiv preprint arXiv:2106.07229 (2021)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13190-5_1"},{"key":"e_1_3_2_1_50_1","volume-title":"Design and implementation of encryption\/decryption architectures for BFV homomorphic encryption scheme","author":"Mert Ahmet Can","year":"2019","unstructured":"Ahmet Can Mert , Erdin\u00e7 \u00d6zt\u00fcrk , and Erkay Sava\u015f . 2019. Design and implementation of encryption\/decryption architectures for BFV homomorphic encryption scheme . IEEE Transactions on Very Large Scale Integration (VLSI) Systems ( 2019 ). Ahmet Can Mert, Erdin\u00e7 \u00d6zt\u00fcrk, and Erkay Sava\u015f. 2019. Design and implementation of encryption\/decryption architectures for BFV homomorphic encryption scheme. IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2019)."},{"key":"e_1_3_2_1_51_1","volume-title":"Vianney Lapotre, Arnaud Tisserand, Caroline Fontaine, Guy Gogniat, and Russell Tessier.","author":"Migliore Vincent","year":"2017","unstructured":"Vincent Migliore , C\u00e9dric Seguin , Maria Mendez Real , Vianney Lapotre, Arnaud Tisserand, Caroline Fontaine, Guy Gogniat, and Russell Tessier. 2017 . A High-Speed Accelerator for Homomorphic Encryption using the Karatsuba Algorithm. ACM Transactiosn on Embedded Computer Systems (TECS) 16, 5s (2017). Vincent Migliore, C\u00e9dric Seguin, Maria Mendez Real, Vianney Lapotre, Arnaud Tisserand, Caroline Fontaine, Guy Gogniat, and Russell Tessier. 2017. A High-Speed Accelerator for Homomorphic Encryption using the Karatsuba Algorithm. ACM Transactiosn on Embedded Computer Systems (TECS) 16, 5s (2017)."},{"key":"e_1_3_2_1_52_1","volume-title":"Proceedings of the 29th USENIX Security Symposium (USENIX Security 20)","author":"Mishra Pratyush","year":"2020","unstructured":"Pratyush Mishra , Ryan Lehmkuhl , Akshayaram Srinivasan , Wenting Zheng , and Raluca Ada Popa . 2020 . Delphi: A cryptographic inference service for neural networks . In Proceedings of the 29th USENIX Security Symposium (USENIX Security 20) . Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, and Raluca Ada Popa. 2020. Delphi: A cryptographic inference service for neural networks. In Proceedings of the 29th USENIX Security Symposium (USENIX Security 20)."},{"key":"e_1_3_2_1_53_1","volume-title":"8th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC).","author":"Mouchet Christian","year":"2020","unstructured":"Christian Mouchet , Jean-Philippe Bossuat , Juan Troncoso-Pastoriza , and J Hubaux . 2020 . Lattigo: A multiparty homomorphic encryption library in Go . In 8th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC). Christian Mouchet, Jean-Philippe Bossuat, Juan Troncoso-Pastoriza, and J Hubaux. 2020. Lattigo: A multiparty homomorphic encryption library in Go. In 8th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC)."},{"key":"e_1_3_2_1_54_1","unstructured":"NVIDIA. 2021. NVIDIA DGX Station A100 system architecture. https:\/\/images.nvidia.com\/aem-dam\/Solutions\/Data-Center\/nvidia-dgx-station-a100-system-architecture-white-paper.pdf.  NVIDIA. 2021. NVIDIA DGX Station A100 system architecture. https:\/\/images.nvidia.com\/aem-dam\/Solutions\/Data-Center\/nvidia-dgx-station-a100-system-architecture-white-paper.pdf."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS.2019.00042"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304025"},{"key":"e_1_3_2_1_57_1","volume-title":"Workshop on Privacy in Natural Language Processing (PrivateNLP @ WSDM).","author":"Podschwadt Robert","year":"2020","unstructured":"Robert Podschwadt and Daniel Takabi . 2020 . Classification of encrypted word embeddings using recurrent neural networks . In Workshop on Privacy in Natural Language Processing (PrivateNLP @ WSDM). Robert Podschwadt and Daniel Takabi. 2020. Classification of encrypted word embeddings using recurrent neural networks. In Workshop on Privacy in Natural Language Processing (PrivateNLP @ WSDM)."},{"key":"e_1_3_2_1_58_1","unstructured":"Rambus Inc. 2020. White paper: HBM2E and GDDR6: Memory Solutions for AI.  Rambus Inc. 2020. White paper: HBM2E and GDDR6: Memory Solutions for AI."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA51647.2021.00013"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378523"},{"key":"e_1_3_2_1_61_1","volume-title":"Proceedings of the 25th IEEE international symposium on High Performance Computer Architecture (HPCA-25)","author":"Roy Sujoy Sinha","year":"2019","unstructured":"Sujoy Sinha Roy , Furkan Turan , Kimmo J\u00e4rvinen , Frederik Vercauteren , and Ingrid Verbauwhede . 2019 . FPGA-Based High-Performance Parallel Architecture for Homomorphic Computing on Encrypted Data . In Proceedings of the 25th IEEE international symposium on High Performance Computer Architecture (HPCA-25) . Sujoy Sinha Roy, Furkan Turan, Kimmo J\u00e4rvinen, Frederik Vercauteren, and Ingrid Verbauwhede. 2019. FPGA-Based High-Performance Parallel Architecture for Homomorphic Computing on Encrypted Data. In Proceedings of the 25th IEEE international symposium on High Performance Computer Architecture (HPCA-25)."},{"key":"e_1_3_2_1_62_1","volume-title":"The CRAY-1 computer system. Commun. ACM 21, 1","author":"Russell Richard M","year":"1978","unstructured":"Richard M Russell . 1978. The CRAY-1 computer system. Commun. ACM 21, 1 ( 1978 ). Richard M Russell. 1978. The CRAY-1 computer system. Commun. ACM 21, 1 (1978)."},{"key":"e_1_3_2_1_63_1","volume-title":"HEAWS: An accelerator for homomorphic encryption on the Amazon AWS FPGA","author":"Turan Furkan","year":"2020","unstructured":"Furkan Turan , Sujoy Roy , and Ingrid Verbauwhede . 2020 . HEAWS: An accelerator for homomorphic encryption on the Amazon AWS FPGA . IEEE Trans. Comput . (2020). Furkan Turan, Sujoy Roy, and Ingrid Verbauwhede. 2020. HEAWS: An accelerator for homomorphic encryption on the Amazon AWS FPGA. IEEE Trans. Comput. (2020)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503222.3507737"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2014.6865755"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC.2012.6408660"},{"key":"e_1_3_2_1_67_1","article-title":"Exploring the feasibility of fully homomorphic encryption","volume":"64","author":"Wang Wei","year":"2013","unstructured":"Wei Wang , Yin Hu , Lianmu Chen , Xinming Huang , and Berk Sunar . 2013 . Exploring the feasibility of fully homomorphic encryption . IEEE Trans. Comput. 64 , 3 (2013). Wei Wang, Yin Hu, Lianmu Chen, Xinming Huang, and Berk Sunar. 2013. Exploring the feasibility of fully homomorphic encryption. IEEE Trans. Comput. 64, 3 (2013).","journal-title":"IEEE Trans. Comput."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373376.3378514"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19573.2019.8993577"}],"event":{"name":"ISCA '22: The 49th Annual International Symposium on Computer Architecture","location":"New York New York","acronym":"ISCA '22","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","IEEE CS TCAA IEEE CS technical committee on architectural acoustics"]},"container-title":["Proceedings of the 49th Annual International Symposium on Computer Architecture"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470496.3527393","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470496.3527393","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470496.3527393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:28Z","timestamp":1750188628000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470496.3527393"}},"subtitle":["a hardware accelerator for efficient unbounded computation on encrypted data"],"short-title":[],"issued":{"date-parts":[[2022,6,11]]},"references-count":65,"alternative-id":["10.1145\/3470496.3527393","10.1145\/3470496"],"URL":"https:\/\/doi.org\/10.1145\/3470496.3527393","relation":{},"subject":[],"published":{"date-parts":[[2022,6,11]]},"assertion":[{"value":"2022-06-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}