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Choi, \"Pim-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture,\" in Computer Architecture (ISCA), 2015 ACM\/IEEE 42nd Annual International Symposium on, pp. 336--348, IEEE, 2015."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/2.375174"},{"key":"e_1_3_2_1_11_1","volume-title":"ACM","author":"Zhang D.","year":"2014","unstructured":"D. Zhang , N. Jayasena , A. Lyashevsky , J. L. Greathouse , L. Xu , and M. Ignatowski , \" Top-pim: throughput-oriented programmable processing in memory,\" in Proceedings of the 23rd international symposium on High-performance parallel and distributed computing, pp. 85--98 , ACM , 2014 . D. Zhang, N. Jayasena, A. Lyashevsky, J. L. Greathouse, L. Xu, and M. 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Kang, et al., \"The architecture of the diva processing-in-memory chip,\" in Proceedings of the 16th international conference on Supercomputing, pp. 14--25, ACM, 2002."},{"key":"e_1_3_2_1_13_1","volume-title":"Pipelayer: A pipelined reram-based accelerator for deep learning,\" HPCA","author":"Song L.","year":"2017","unstructured":"L. Song , X. Qian , H. Li , and Y. Chen , \" Pipelayer: A pipelined reram-based accelerator for deep learning,\" HPCA , 2017 . L. Song, X. Qian, H. Li, and Y. Chen, \"Pipelayer: A pipelined reram-based accelerator for deep learning,\" HPCA, 2017."},{"key":"e_1_3_2_1_14_1","volume-title":"ACM","author":"Fujiki D.","year":"2018","unstructured":"D. Fujiki , S. Mahlke , and R. Das , \" In-memory data parallel processor,\" in Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 1--14 , ACM , 2018 . D. Fujiki, S. Mahlke, and R. 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Rosing, \"Floatpim: In-memory acceleration of deep neural network training with high precision,\" in Proceedings of the 46th International Symposium on Computer Architecture, pp. 802--815, ACM, 2019."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"C. Bo V. Dang E. Sadredini and K. Skadron \"Searching for potential grna off-target sites for crispr\/cas9 using automata processing across different platforms \" in 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA) pp. 737--748 IEEE 2018.  C. Bo V. Dang E. Sadredini and K. Skadron \"Searching for potential grna off-target sites for crispr\/cas9 using automata processing across different platforms \" in 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA) pp. 737--748 IEEE 2018.","DOI":"10.1109\/HPCA.2018.00068"},{"key":"e_1_3_2_1_24_1","first-page":"576","volume-title":"Re-nuca: A practical nuca architecture for reram based last-level caches,\" in 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","author":"Kotra J. B.","year":"2016","unstructured":"J. B. Kotra , M. Arjomand , D. Guttman , M. T. Kandemir , and C. R. Das , \" Re-nuca: A practical nuca architecture for reram based last-level caches,\" in 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS) , pp. 576 -- 585 , IEEE , 2016 . J. B. Kotra, M. Arjomand, D. Guttman, M. T. Kandemir, and C. R. Das, \"Re-nuca: A practical nuca architecture for reram based last-level caches,\" in 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 576--585, IEEE, 2016."},{"key":"e_1_3_2_1_25_1","first-page":"1","volume-title":"Memristors for neural branch prediction: a case study in strict latency and write endurance challenges,\" in Proceedings of the ACM International Conference on Computing Frontiers","author":"Saadeldeen H.","year":"2013","unstructured":"H. Saadeldeen , D. Franklin , G. Long , C. Hill , A. Browne , D. Strukov , T. Sherwood , and F. T. Chong , \" Memristors for neural branch prediction: a case study in strict latency and write endurance challenges,\" in Proceedings of the ACM International Conference on Computing Frontiers , pp. 1 -- 10 , 2013 . H. Saadeldeen, D. Franklin, G. Long, C. Hill, A. Browne, D. Strukov, T. Sherwood, and F. T. Chong, \"Memristors for neural branch prediction: a case study in strict latency and write endurance challenges,\" in Proceedings of the ACM International Conference on Computing Frontiers, pp. 1--10, 2013."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1166\/jno.2008.301"},{"key":"e_1_3_2_1_27_1","volume-title":"National Center for Biotechnology Information (US)","author":"Madden T.","year":"2013","unstructured":"T. Madden , \"The blast sequence analysis tool,\" in The NCBI Handbook [Internet]. 2nd edition , National Center for Biotechnology Information (US) , 2013 . T. Madden, \"The blast sequence analysis tool,\" in The NCBI Handbook [Internet]. 2nd edition, National Center for Biotechnology Information (US), 2013."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty191"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-019-1891-0"},{"issue":"1","key":"e_1_3_2_1_30_1","first-page":"133","article-title":"Sequencing human genome: the contributions of francis collins and craig venter","volume":"1","author":"Adams J.","year":"2008","unstructured":"J. Adams , \" Sequencing human genome: the contributions of francis collins and craig venter ,\" Nature Education , vol. 1 , no. 1 , p. 133 , 2008 . J. 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Alkan, \"Accelerating read mapping with fasthash,\" in BMC genomics, vol. 14, pp. 1--13, Springer, 2013."},{"key":"e_1_3_2_1_33_1","first-page":"359","volume-title":"Darwin-wga: A coprocessor provides increased sensitivity in whole genome alignments with high speedup,\" in 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)","author":"Turakhia Y.","year":"2019","unstructured":"Y. Turakhia , S. D. Goenka , G. Bejerano , and W. J. Dally , \" Darwin-wga: A coprocessor provides increased sensitivity in whole genome alignments with high speedup,\" in 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA) , pp. 359 -- 372 , IEEE , 2019 . Y. Turakhia, S. D. Goenka, G. Bejerano, and W. J. Dally, \"Darwin-wga: A coprocessor provides increased sensitivity in whole genome alignments with high speedup,\" in 2019 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp. 359--372, IEEE, 2019."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"D. S. Cali G. S. Kalsi Z. Bing\u00f6l C. Firtina L. Subramanian J. S. Kim R. Ausavarungnirun M. Alser J. Gomez-Luna A. Boroumand etal \"Genasm: A high-performance low-power approximate string matching acceleration framework for genome sequence analysis \" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO) pp. 951--966 IEEE 2020.  D. S. Cali G. S. Kalsi Z. Bing\u00f6l C. Firtina L. Subramanian J. S. Kim R. Ausavarungnirun M. Alser J. Gomez-Luna A. Boroumand et al. \"Genasm: A high-performance low-power approximate string matching acceleration framework for genome sequence analysis \" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO) pp. 951--966 IEEE 2020.","DOI":"10.1109\/MICRO50266.2020.00081"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-009-9009-8"},{"key":"e_1_3_2_1_36_1","first-page":"5","article-title":"Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning","author":"Poduval P.","year":"2022","unstructured":"P. Poduval , A. Zakeri , F. Imani , H. Alimohamadi , and M. Imani , \" Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning ,\" Frontiers in Neuroscience , p. 5 , 2022 . P. Poduval, A. Zakeri, F. Imani, H. Alimohamadi, and M. Imani, \"Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning,\" Frontiers in Neuroscience, p. 5, 2022.","journal-title":"Frontiers in Neuroscience"},{"key":"e_1_3_2_1_37_1","first-page":"445","volume-title":"2017 IEEE International Symposium on","author":"Imani M.","year":"2017","unstructured":"M. Imani , A. Rahimi , D. Kong , T. Rosing , and J. M. Rabaey , \" Exploring hyper-dimensional associative memory,\" in High Performance Computer Architecture (HPCA) , 2017 IEEE International Symposium on , pp. 445 -- 456 , IEEE, 2017 . M. Imani, A. Rahimi, D. Kong, T. Rosing, and J. M. Rabaey, \"Exploring hyper-dimensional associative memory,\" in High Performance Computer Architecture (HPCA), 2017 IEEE International Symposium on, pp. 445--456, IEEE, 2017."},{"key":"e_1_3_2_1_38_1","first-page":"115","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE)","author":"Kim Y.","year":"2020","unstructured":"Y. Kim , M. Imani , N. Moshiri , and T. Rosing , \" Geniehd: efficient dna pattern matching accelerator using hyperdimensional computing,\" in 2020 Design , Automation & Test in Europe Conference & Exhibition (DATE) , pp. 115 -- 120 , IEEE, 2020 . Y. Kim, M. Imani, N. Moshiri, and T. Rosing, \"Geniehd: efficient dna pattern matching accelerator using hyperdimensional computing,\" in 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 115--120, IEEE, 2020."},{"key":"e_1_3_2_1_39_1","first-page":"1","volume-title":"Rapid: A reram processing in-memory architecture for dna sequence alignment,\" in 2019 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED)","author":"Gupta S.","year":"2019","unstructured":"S. Gupta , M. Imani , B. Khaleghi , V. Kumar , and T. Rosing , \" Rapid: A reram processing in-memory architecture for dna sequence alignment,\" in 2019 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED) , pp. 1 -- 6 , IEEE , 2019 . S. Gupta, M. Imani, B. Khaleghi, V. Kumar, and T. Rosing, \"Rapid: A reram processing in-memory architecture for dna sequence alignment,\" in 2019 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED), pp. 1--6, IEEE, 2019."},{"key":"e_1_3_2_1_40_1","first-page":"403","article-title":"Altschul, sf, gish, w., miller, w., myers, ew & lipman, dj (1990)","volume":"215","author":"Baulcombe D.","year":"1998","unstructured":"D. Baulcombe , H. B\u00e4umlein , U. Wobus , J. Pustell , F. Kafatos , A. Bendich , P. Benfey , H. Takatsuji , L. Ren , D. Shah , , \" Altschul, sf, gish, w., miller, w., myers, ew & lipman, dj (1990) ,\" J. Mol. Biol , vol. 215 , pp. 403 -- 410 , 1998 . D. Baulcombe, H. B\u00e4umlein, U. Wobus, J. Pustell, F. Kafatos, A. Bendich, P. Benfey, H. Takatsuji, L. Ren, D. Shah, et al., \"Altschul, sf, gish, w., miller, w., myers, ew & lipman, dj (1990),\" J. Mol. Biol, vol. 215, pp. 403--410, 1998.","journal-title":"J. Mol. 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Prieto-Matias, \"Accelerating smith-waterman alignment of long dna sequences with opencl on fpga,\" in International Conference on Bioinformatics and Biomedical Engineering, pp. 500--511, Springer, 2017."},{"key":"e_1_3_2_1_44_1","volume-title":"Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception,\" Science Robotics","author":"Mitrokhin A.","unstructured":"A. Mitrokhin , P. Sutor , C. Ferm\u00fcller , and Y. Aloimonos , \" Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception,\" Science Robotics , vol. 4 , no. 30, 2019. A. Mitrokhin, P. Sutor, C. Ferm\u00fcller, and Y. Aloimonos, \"Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception,\" Science Robotics, vol. 4, no. 30, 2019."},{"key":"e_1_3_2_1_45_1","first-page":"64","volume-title":"A robust and energy-efficient classifier using brain-inspired hyperdimensional computing,\" in Proceedings of the 2016 International Symposium on Low Power Electronics and Design","author":"Rahimi A.","year":"2016","unstructured":"A. Rahimi , P. Kanerva , and J. M. Rabaey , \" A robust and energy-efficient classifier using brain-inspired hyperdimensional computing,\" in Proceedings of the 2016 International Symposium on Low Power Electronics and Design , pp. 64 -- 69 , 2016 . A. Rahimi, P. Kanerva, and J. M. Rabaey, \"A robust and energy-efficient classifier using brain-inspired hyperdimensional computing,\" in Proceedings of the 2016 International Symposium on Low Power Electronics and Design, pp. 64--69, 2016."},{"key":"e_1_3_2_1_46_1","first-page":"1","volume-title":"Storage and Analysis","author":"Zou Z.","year":"2021","unstructured":"Z. Zou , Y. Kim , F. Imani , H. Alimohamadi , R. Cammarota , and M. Imani , \" Scalable edge-based hyperdimensional learning system with brain-like neural adaptation,\" in Proceedings of the International Conference for High Performance Computing, Networking , Storage and Analysis , pp. 1 -- 15 , 2021 . Z. Zou, Y. Kim, F. Imani, H. Alimohamadi, R. Cammarota, and M. Imani, \"Scalable edge-based hyperdimensional learning system with brain-like neural adaptation,\" in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1--15, 2021."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.07.035"},{"key":"e_1_3_2_1_48_1","volume-title":"Random indexing of text samples for latent semantic analysis,\" in Proceedings of the 22nd annual conference of the cognitive science society","author":"Kanerva P.","year":"2000","unstructured":"P. Kanerva , J. Kristofersson , and A. Holst , \" Random indexing of text samples for latent semantic analysis,\" in Proceedings of the 22nd annual conference of the cognitive science society , vol. 1036 , Citeseer , 2000 . P. Kanerva, J. Kristofersson, and A. Holst, \"Random indexing of text samples for latent semantic analysis,\" in Proceedings of the 22nd annual conference of the cognitive science society, vol. 1036, Citeseer, 2000."},{"key":"e_1_3_2_1_49_1","volume-title":"Spiking hyperdimensional network: Neuromorphic models integrated with memory-inspired framework,\" arXiv preprint arXiv:2110.00214","author":"Zou Z.","year":"2021","unstructured":"Z. Zou , H. Alimohamadi , F. Imani , Y. Kim , and M. Imani , \" Spiking hyperdimensional network: Neuromorphic models integrated with memory-inspired framework,\" arXiv preprint arXiv:2110.00214 , 2021 . Z. Zou, H. Alimohamadi, F. Imani, Y. Kim, and M. Imani, \"Spiking hyperdimensional network: Neuromorphic models integrated with memory-inspired framework,\" arXiv preprint arXiv:2110.00214, 2021."},{"key":"e_1_3_2_1_50_1","volume-title":"Content-addressable memory (cam) circuits and architectures: A tutorial and survey,\" IEEE journal of solid-state circuits","author":"Pagiamtzis K.","unstructured":"K. Pagiamtzis and A. Sheikholeslami , \" Content-addressable memory (cam) circuits and architectures: A tutorial and survey,\" IEEE journal of solid-state circuits , vol. 41 , no. 3, pp. 712--727, 2006. K. Pagiamtzis and A. Sheikholeslami, \"Content-addressable memory (cam) circuits and architectures: A tutorial and survey,\" IEEE journal of solid-state circuits, vol. 41, no. 3, pp. 712--727, 2006."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0321-3"},{"key":"e_1_3_2_1_52_1","volume-title":"Mixed digital-analog associative memory enabling fully-parallel nearest euclidean distance search,\" Japanese journal of applied physics","author":"Abedin M. A.","unstructured":"M. A. Abedin , Y. Tanaka , A. Ahmadi , T. Koide , and H. J. Mattausch , \" Mixed digital-analog associative memory enabling fully-parallel nearest euclidean distance search,\" Japanese journal of applied physics , vol. 46 , no. 4S, p. 2231, 2007. M. A. Abedin, Y. Tanaka, A. Ahmadi, T. Koide, and H. J. Mattausch, \"Mixed digital-analog associative memory enabling fully-parallel nearest euclidean distance search,\" Japanese journal of applied physics, vol. 46, no. 4S, p. 2231, 2007."},{"key":"e_1_3_2_1_53_1","first-page":"429","volume-title":"Digitalpim: Digital-based processing in-memory for big data acceleration,\" in Proceedings of the 2019 on Great Lakes Symposium on VLSI","author":"Imani M.","year":"2019","unstructured":"M. Imani , S. Gupta , Y. Kim , M. Zhou , and T. Rosing , \" Digitalpim: Digital-based processing in-memory for big data acceleration,\" in Proceedings of the 2019 on Great Lakes Symposium on VLSI , pp. 429 -- 434 , 2019 . M. Imani, S. Gupta, Y. Kim, M. Zhou, and T. Rosing, \"Digitalpim: Digital-based processing in-memory for big data acceleration,\" in Proceedings of the 2019 on Great Lakes Symposium on VLSI, pp. 429--434, 2019."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2014.2357292"},{"key":"e_1_3_2_1_55_1","article-title":"Simpler magic: synthesis and mapping of in-memory logic executed in a single row to improve throughput","author":"Ben-Hur R.","year":"2019","unstructured":"R. Ben-Hur , R. Ronen , A. Haj-Ali , D. Bhattacharjee , A. Eliahu , N. Peled , and S. Kvatinsky , \" Simpler magic: synthesis and mapping of in-memory logic executed in a single row to improve throughput ,\" IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , 2019 . R. Ben-Hur, R. Ronen, A. Haj-Ali, D. Bhattacharjee, A. Eliahu, N. Peled, and S. Kvatinsky, \"Simpler magic: synthesis and mapping of in-memory logic executed in a single row to improve throughput,\" IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019.","journal-title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"},{"key":"e_1_3_2_1_56_1","volume-title":"A complementary resistive switch-based crossbar array adder,\" IEEE journal on emerging and selected topics in circuits and systems","author":"Siemon A.","unstructured":"A. Siemon , S. Menzel , R. Waser , and E. Linn , \" A complementary resistive switch-based crossbar array adder,\" IEEE journal on emerging and selected topics in circuits and systems , vol. 5 , no. 1, pp. 64--74, 2015. A. Siemon, S. Menzel, R. Waser, and E. Linn, \"A complementary resistive switch-based crossbar array adder,\" IEEE journal on emerging and selected topics in circuits and systems, vol. 5, no. 1, pp. 64--74, 2015."},{"issue":"10","key":"e_1_3_2_1_57_1","first-page":"2054","article-title":"Memristor-based material implication (IMPLY) logic: design principles and methodologies","volume":"22","author":"Kvatinsky S.","year":"2014","unstructured":"S. Kvatinsky , G. Satat , N. Wald , E. G. Friedman , A. Kolodny , and U. C. Weiser , \" Memristor-based material implication (IMPLY) logic: design principles and methodologies ,\" TVLSI , vol. 22 , no. 10 , pp. 2054 -- 2066 , 2014 . S. Kvatinsky, G. Satat, N. Wald, E. G. Friedman, A. Kolodny, and U. C. Weiser, \"Memristor-based material implication (IMPLY) logic: design principles and methodologies,\" TVLSI, vol. 22, no. 10, pp. 2054--2066, 2014.","journal-title":"TVLSI"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature08940"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNANO.2016.2570248"},{"key":"e_1_3_2_1_60_1","first-page":"476","volume-title":"Overcoming the challenges of crossbar resistive memory architectures,\" in 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","author":"Xu C.","year":"2015","unstructured":"C. Xu , D. Niu , N. Muralimanohar , R. Balasubramonian , T. Zhang , S. Yu , and Y. Xie , \" Overcoming the challenges of crossbar resistive memory architectures,\" in 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA) , pp. 476 -- 488 , IEEE , 2015 . C. Xu, D. Niu, N. Muralimanohar, R. Balasubramonian, T. Zhang, S. Yu, and Y. Xie, \"Overcoming the challenges of crossbar resistive memory architectures,\" in 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA), pp. 476--488, IEEE, 2015."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.053631140"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0168-9525(01)02372-1"},{"issue":"4","key":"e_1_3_2_1_63_1","doi-asserted-by":"crossref","first-page":"303","DOI":"10.2174\/1574893611666161027142611","article-title":"Maria Prado Barral, and A. Trancoso Lopo de Queiroz, \"Hiv-1 nucleotide sequence comprehensive analysis: a computational approach","volume":"12","author":"Kasprzykowski J. Irahe","year":"2017","unstructured":"J. Irahe Kasprzykowski , K. Ferreira Fukutani , H. F\u00e1bio , A . Maria Prado Barral, and A. Trancoso Lopo de Queiroz, \"Hiv-1 nucleotide sequence comprehensive analysis: a computational approach ,\" Current Bioinformatics , vol. 12 , no. 4 , pp. 303 -- 311 , 2017 . J. Irahe Kasprzykowski, K. Ferreira Fukutani, H. F\u00e1bio, A. Maria Prado Barral, and A. Trancoso Lopo de Queiroz, \"Hiv-1 nucleotide sequence comprehensive analysis: a computational approach,\" Current Bioinformatics, vol. 12, no. 4, pp. 303--311, 2017.","journal-title":"Current Bioinformatics"},{"key":"e_1_3_2_1_64_1","volume-title":"Tensorflow: Large-scale machine learning on heterogeneous distributed systems,\" arXiv preprint arXiv:1603.04467","author":"Abadi M.","year":"2016","unstructured":"M. Abadi , A. Agarwal , P. Barham , E. Brevdo , Z. Chen , C. Citro , G. S. Corrado , A. Davis , J. Dean , M. Devin , , \" Tensorflow: Large-scale machine learning on heterogeneous distributed systems,\" arXiv preprint arXiv:1603.04467 , 2016 . M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al., \"Tensorflow: Large-scale machine learning on heterogeneous distributed systems,\" arXiv preprint arXiv:1603.04467, 2016."},{"key":"e_1_3_2_1_65_1","volume-title":"Synopsys,\" Inc., see http:\/\/www.synopsys.com","author":"Compiler D.","year":"2000","unstructured":"D. Compiler , R. User , and M. Guide , \" Synopsys,\" Inc., see http:\/\/www.synopsys.com , 2000 . D. Compiler, R. User, and M. Guide, \"Synopsys,\" Inc., see http:\/\/www.synopsys.com, 2000."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2015.2433536"},{"key":"e_1_3_2_1_67_1","unstructured":"\"NVBIO: GPU-accelerated C++ framework for High-Throughput Sequence Analysis.\" https:\/\/developer.nvidia.com\/nvbio.  \"NVBIO: GPU-accelerated C++ framework for High-Throughput Sequence Analysis.\" https:\/\/developer.nvidia.com\/nvbio."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq644"},{"key":"e_1_3_2_1_69_1","unstructured":"\"NIH SARS-COV-2 Data.\" https:\/\/www.ncbi.nlm.nih.gov\/datasets\/docs\/command-line-virus\/.  \"NIH SARS-COV-2 Data.\" https:\/\/www.ncbi.nlm.nih.gov\/datasets\/docs\/command-line-virus\/."},{"key":"e_1_3_2_1_70_1","unstructured":"\"NIH National Library of Medicine.\" https:\/\/www.ncbi.nlm.nih.gov\/sars-cov-2\/.  \"NIH National Library of Medicine.\" https:\/\/www.ncbi.nlm.nih.gov\/sars-cov-2\/."},{"key":"e_1_3_2_1_71_1","unstructured":"\"NCBI Gene Database.\" https:\/\/www.ncbi.nlm.nih.gov\/gene\/.  \"NCBI Gene Database.\" https:\/\/www.ncbi.nlm.nih.gov\/gene\/."},{"key":"e_1_3_2_1_72_1","unstructured":"\"1000 Genomes.\" https:\/\/www.internationalgenome.org\/data\/.  \"1000 Genomes.\" https:\/\/www.internationalgenome.org\/data\/."},{"key":"e_1_3_2_1_73_1","unstructured":"\"NCBI Reference Sequence.\" https:\/\/www.ncbi.nlm.nih.gov\/refseq\/.  \"NCBI Reference Sequence.\" https:\/\/www.ncbi.nlm.nih.gov\/refseq\/."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1923"},{"key":"e_1_3_2_1_75_1","first-page":"1265","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE)","author":"Angizi S.","year":"2020","unstructured":"S. Angizi , J. Sun , W. Zhang , and D. Fan , \" Pim-aligner: a processing-in-mram platform for biological sequence alignment,\" in 2020 Design , Automation & Test in Europe Conference & Exhibition (DATE) , pp. 1265 -- 1270 , IEEE, 2020 . S. Angizi, J. Sun, W. Zhang, and D. Fan, \"Pim-aligner: a processing-in-mram platform for biological sequence alignment,\" in 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1265--1270, IEEE, 2020."},{"key":"e_1_3_2_1_76_1","first-page":"273","volume-title":"Ambit: In-memory accelerator for bulk bitwise operations using commodity dram technology,\" in 2017 50th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)","author":"Seshadri V.","year":"2017","unstructured":"V. Seshadri , D. Lee , T. Mullins , H. Hassan , A. Boroumand , J. Kim , M. A. Kozuch , O. Mutlu , P. B. Gibbons , and T. C. Mowry , \" Ambit: In-memory accelerator for bulk bitwise operations using commodity dram technology,\" in 2017 50th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO) , pp. 273 -- 287 , IEEE , 2017 . V. Seshadri, D. Lee, T. Mullins, H. Hassan, A. Boroumand, J. Kim, M. A. Kozuch, O. Mutlu, P. B. Gibbons, and T. C. Mowry, \"Ambit: In-memory accelerator for bulk bitwise operations using commodity dram technology,\" in 2017 50th Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO), pp. 273--287, IEEE, 2017."},{"key":"e_1_3_2_1_77_1","first-page":"100","volume-title":"Computedram: In-memory compute using off-the-shelf drams,\" in Proceedings of the 52nd annual IEEE\/ACM international symposium on microarchitecture","author":"Gao F.","year":"2019","unstructured":"F. Gao , G. Tziantzioulis , and D. Wentzlaff , \" Computedram: In-memory compute using off-the-shelf drams,\" in Proceedings of the 52nd annual IEEE\/ACM international symposium on microarchitecture , pp. 100 -- 113 , 2019 . F. Gao, G. Tziantzioulis, and D. Wentzlaff, \"Computedram: In-memory compute using off-the-shelf drams,\" in Proceedings of the 52nd annual IEEE\/ACM international symposium on microarchitecture, pp. 100--113, 2019."},{"key":"e_1_3_2_1_78_1","first-page":"372","volume-title":"Newton: A dram-maker's accelerator-in-memory (aim) architecture for machine learning,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO)","author":"He M.","year":"2020","unstructured":"M. He , C. Song , I. Kim , C. Jeong , S. Kim , I. Park , M. Thottethodi , and T. Vijaykumar , \" Newton: A dram-maker's accelerator-in-memory (aim) architecture for machine learning,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO) , pp. 372 -- 385 , IEEE , 2020 . M. He, C. Song, I. Kim, C. Jeong, S. Kim, I. Park, M. Thottethodi, and T. Vijaykumar, \"Newton: A dram-maker's accelerator-in-memory (aim) architecture for machine learning,\" in 2020 53rd Annual IEEE\/ACM International Symposium on Microarchitecture (MICRO), pp. 372--385, IEEE, 2020."},{"key":"e_1_3_2_1_79_1","first-page":"36","volume-title":"Monolithic 3d integration of high endurance multi-bit ferroelectric fet for accelerating compute-in-memory,\" in 2020 IEEE International Electron Devices Meeting (IEDM)","author":"Dutta S.","year":"2020","unstructured":"S. Dutta , H. Ye , W. Chakraborty , Y.-C. Luo , M. San Jose , B. Grisafe , A. Khanna , I. Lightcap , S. Shinde , S. Yu , , \" Monolithic 3d integration of high endurance multi-bit ferroelectric fet for accelerating compute-in-memory,\" in 2020 IEEE International Electron Devices Meeting (IEDM) , pp. 36 -- 34 , IEEE , 2020 . S. Dutta, H. Ye, W. Chakraborty, Y.-C. Luo, M. San Jose, B. Grisafe, A. Khanna, I. Lightcap, S. Shinde, S. Yu, et al., \"Monolithic 3d integration of high endurance multi-bit ferroelectric fet for accelerating compute-in-memory,\" in 2020 IEEE International Electron Devices Meeting (IEDM), pp. 36--4, IEEE, 2020."},{"key":"e_1_3_2_1_80_1","first-page":"245","volume-title":"A 22nm 4mb 8b-precision reram computing-in-memory macro with 11.91 to 195.7 tops\/w for tiny ai edge devices,\" in 2021 IEEE International Solid-State Circuits Conference (ISSCC)","author":"Xue C.-X.","year":"2021","unstructured":"C.-X. Xue , J.-M. Hung , H.-Y. Kao , Y.-H. Huang , S.-P. Huang , F.-C. Chang , P. Chen , T.-W. Liu , C.-J. Jhang , C.-I. Su , , \" A 22nm 4mb 8b-precision reram computing-in-memory macro with 11.91 to 195.7 tops\/w for tiny ai edge devices,\" in 2021 IEEE International Solid-State Circuits Conference (ISSCC) , vol. 64 , pp. 245 -- 247 , IEEE , 2021 . C.-X. Xue, J.-M. Hung, H.-Y. Kao, Y.-H. Huang, S.-P. Huang, F.-C. Chang, P. Chen, T.-W. Liu, C.-J. Jhang, C.-I. Su, et al., \"A 22nm 4mb 8b-precision reram computing-in-memory macro with 11.91 to 195.7 tops\/w for tiny ai edge devices,\" in 2021 IEEE International Solid-State Circuits Conference (ISSCC), vol. 64, pp. 245--247, IEEE, 2021."},{"key":"e_1_3_2_1_81_1","first-page":"435","volume-title":"A framework for collaborative learning in secure high-dimensional space,\" in 2019 IEEE 12th International Conference on Cloud Computing (CLOUD)","author":"Imani M.","year":"2019","unstructured":"M. Imani , Y. Kim , S. Riazi , J. Messerly , P. Liu , F. Koushanfar , and T. Rosing , \" A framework for collaborative learning in secure high-dimensional space,\" in 2019 IEEE 12th International Conference on Cloud Computing (CLOUD) , pp. 435 -- 446 , IEEE , 2019 . M. Imani, Y. Kim, S. Riazi, J. Messerly, P. Liu, F. Koushanfar, and T. Rosing, \"A framework for collaborative learning in secure high-dimensional space,\" in 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), pp. 435--446, IEEE, 2019."},{"key":"e_1_3_2_1_82_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2020.2988388"},{"key":"e_1_3_2_1_83_1","first-page":"578","volume-title":"Biological gender classification from fmri via hyperdimensional computing,\" in 2021 55th Asilomar Conference on Signals, Systems, and Computers","author":"Billmeyer R.","year":"2021","unstructured":"R. Billmeyer and K. K. Parhi , \" Biological gender classification from fmri via hyperdimensional computing,\" in 2021 55th Asilomar Conference on Signals, Systems, and Computers , pp. 578 -- 582 , IEEE , 2021 . R. Billmeyer and K. K. Parhi, \"Biological gender classification from fmri via hyperdimensional computing,\" in 2021 55th Asilomar Conference on Signals, Systems, and Computers, pp. 578--582, IEEE, 2021."},{"key":"e_1_3_2_1_84_1","first-page":"553","volume-title":"Prid: Model inversion privacy attacks in hyperdimensional learning systems,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC)","author":"H\u00e9rnandez-Cano A.","year":"2021","unstructured":"A. H\u00e9rnandez-Cano , R. Cammarota , and M. Imani , \" Prid: Model inversion privacy attacks in hyperdimensional learning systems,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC) , pp. 553 -- 558 , IEEE , 2021 . A. H\u00e9rnandez-Cano, R. Cammarota, and M. Imani, \"Prid: Model inversion privacy attacks in hyperdimensional learning systems,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC), pp. 553--558, IEEE, 2021."},{"key":"e_1_3_2_1_85_1","volume-title":"Vector symbolic architectures as a computing framework for nanoscale hardware,\" arXiv preprint arXiv:2106.05268","author":"Kleyko D.","year":"2021","unstructured":"D. Kleyko , M. Davies , E. P. Frady , P. Kanerva , S. J. Kent , B. A. Olshausen , E. Osipov , J. M. Rabaey , D. A. Rachkovskij , A. Rahimi , , \" Vector symbolic architectures as a computing framework for nanoscale hardware,\" arXiv preprint arXiv:2106.05268 , 2021 . D. Kleyko, M. Davies, E. P. Frady, P. Kanerva, S. J. Kent, B. A. Olshausen, E. Osipov, J. M. Rabaey, D. A. Rachkovskij, A. Rahimi, et al., \"Vector symbolic architectures as a computing framework for nanoscale hardware,\" arXiv preprint arXiv:2106.05268, 2021."},{"key":"e_1_3_2_1_86_1","volume-title":"Computing on functions using randomized vector representations,\" arXiv preprint arXiv:2109.03429","author":"Frady E. P.","year":"2021","unstructured":"E. P. Frady , D. Kleyko , C. J. Kymn , B. A. Olshausen , and F. T. Sommer , \" Computing on functions using randomized vector representations,\" arXiv preprint arXiv:2109.03429 , 2021 . E. P. Frady, D. Kleyko, C. J. Kymn, B. A. Olshausen, and F. T. Sommer, \"Computing on functions using randomized vector representations,\" arXiv preprint arXiv:2109.03429, 2021."},{"key":"e_1_3_2_1_87_1","first-page":"1195","volume-title":"Stochd: Stochastic hyperdimensional system for efficient and robust learning from raw data,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC)","author":"Poduval P.","year":"2021","unstructured":"P. Poduval , Z. Zou , H. Najafi , H. Homayoun , and M. Imani , \" Stochd: Stochastic hyperdimensional system for efficient and robust learning from raw data,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC) , pp. 1195 -- 1200 , IEEE , 2021 . P. Poduval, Z. Zou, H. Najafi, H. Homayoun, and M. Imani, \"Stochd: Stochastic hyperdimensional system for efficient and robust learning from raw data,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC), pp. 1195--1200, IEEE, 2021."},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-99000-w"},{"key":"e_1_3_2_1_89_1","first-page":"781","volume-title":"Cognitive correlative encoding for genome sequence matching in hyperdimensional system,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC)","author":"Poduval P.","year":"2021","unstructured":"P. Poduval , Z. Zou , X. Yin , E. Sadredini , and M. Imani , \" Cognitive correlative encoding for genome sequence matching in hyperdimensional system,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC) , pp. 781 -- 786 , IEEE , 2021 . P. Poduval, Z. Zou, X. Yin, E. Sadredini, and M. Imani, \"Cognitive correlative encoding for genome sequence matching in hyperdimensional system,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC), pp. 781--786, IEEE, 2021."},{"key":"e_1_3_2_1_90_1","first-page":"1","volume-title":"Dima: a depthwise cnn in-memory accelerator,\" in 2018 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD)","author":"Angizi S.","year":"2018","unstructured":"S. Angizi , Z. He , and D. Fan , \" Dima: a depthwise cnn in-memory accelerator,\" in 2018 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD) , pp. 1 -- 8 , IEEE , 2018 . S. Angizi, Z. He, and D. Fan, \"Dima: a depthwise cnn in-memory accelerator,\" in 2018 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD), pp. 1--8, IEEE, 2018."},{"key":"e_1_3_2_1_91_1","first-page":"531","volume-title":"Graphr: Accelerating graph processing using reram,\" in 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA)","author":"Song L.","year":"2018","unstructured":"L. Song , Y. Zhuo , X. Qian , H. Li , and Y. Chen , \" Graphr: Accelerating graph processing using reram,\" in 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA) , pp. 531 -- 543 , IEEE , 2018 . L. Song, Y. Zhuo, X. Qian, H. Li, and Y. Chen, \"Graphr: Accelerating graph processing using reram,\" in 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp. 531--543, IEEE, 2018."},{"key":"e_1_3_2_1_92_1","first-page":"399","volume-title":"Exma: A genomics accelerator for exact-matching,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)","author":"Jiang L.","year":"2021","unstructured":"L. Jiang and F. Zokaee , \" Exma: A genomics accelerator for exact-matching,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pp. 399 -- 411 , IEEE , 2021 . L. Jiang and F. Zokaee, \"Exma: A genomics accelerator for exact-matching,\" in 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA), pp. 399--411, IEEE, 2021."},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx342"}],"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\/3470496.3527422","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470496.3527422","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3470496.3527422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:53Z","timestamp":1750191533000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3470496.3527422"}},"subtitle":["an efficient genome sequence search platform using HyperDimensional memorization"],"short-title":[],"issued":{"date-parts":[[2022,6,11]]},"references-count":93,"alternative-id":["10.1145\/3470496.3527422","10.1145\/3470496"],"URL":"https:\/\/doi.org\/10.1145\/3470496.3527422","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"}}]}}