{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:19:17Z","timestamp":1759335557734,"version":"3.37.3"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"VEDLIoT Project through European Union\u2019s Horizon 2020 Research and Innovation Program","award":["957197"],"award-info":[{"award-number":["957197"]}]},{"name":"Project CoolEdgeHPC through German Federal Ministry of Education and Research","award":["16ME0883"],"award-info":[{"award-number":["16ME0883"]}]},{"name":"Open Access Publication Fund of Bielefeld University and the Deutsche Forschungsgemeinschaft"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3471471","type":"journal-article","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T17:29:39Z","timestamp":1727803779000},"page":"142459-142474","source":"Crossref","is-referenced-by-count":2,"title":["HLS-Based Large Scale Self-Organizing Feature Maps"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2401-7862","authenticated-orcid":false,"given":"Florian","family":"Porrmann","sequence":"first","affiliation":[{"name":"Cognitronics and Sensor Systems, CITEC, Bielefeld University, Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jens","family":"Hagemeyer","sequence":"additional","affiliation":[{"name":"Cognitronics and Sensor Systems, CITEC, Bielefeld University, Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Porrmann","sequence":"additional","affiliation":[{"name":"Computer Engineering Group, Institute of Computer Science, Osnabrück University, Osnabrück, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10325-y"},{"volume-title":"Data age 2025: The digitization of the world, from edge to core","year":"2018","author":"David","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/bf00337288"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2172\/1566795"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-39205-X_107"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-017-0554-6"},{"key":"ref8","first-page":"1","article-title":"Voice recognition based on vote-SOM","volume-title":"Proc. Chilean Workshop Pattern Recognit.","author":"Estrebou"},{"article-title":"Voice recognition based on probabilistic SOM","volume-title":"Proc. 36th Conferencia Latinoamericana en Informtica","author":"Estrebou","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1287\/isre.12.2.177.9696"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5772\/51468"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/cibcb.2014.6845512"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4471-3913-3","volume-title":"Visual Explorations in Finance. With Self-Organizing Maps","author":"Deboeck","year":"1998"},{"key":"ref14","first-page":"213","article-title":"Financial applications of self-organizing maps","volume":"8","author":"Deboeck","year":"2000","journal-title":"Neural Netw. World"},{"article-title":"Assessing the use of the som technique in data mining","volume-title":"Proc. IASTED Int. Conf. Databases Appl. (DBA)","author":"Rajanen (Marghescu)","key":"ref15"},{"key":"ref16","article-title":"CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM","author":"Gavval","year":"2019","journal-title":"arXiv:1905.09598"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3152690"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn.2017.7966400"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1988.23839"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3233\/978-1-60750-530-3-592"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.02.019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2006.07.013"},{"volume-title":"High-level Synthesis Parallelization and Optimization of Vectorized Self-organizing Maps","year":"2022","author":"Rivera-Morales","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01057-7_60"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/SBAC-PAD49847.2020.00037"},{"volume-title":"Popsom: Functions for Constructing and Evaluating Self-organizing Maps","year":"2021","author":"Hamel","key":"ref26"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10015-023-00916-5"},{"volume-title":"Nvidia Cublas","year":"2023","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/sbr-lars.2012.56"},{"volume-title":"Som_Pak and Lvq_Pak","year":"2004","author":"Centre","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa925"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu849"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3620665.3640366"},{"volume-title":"Sompy: A Python Library for Self Organizing Map (SOM)","year":"2014","author":"Moosavi","key":"ref34"},{"volume-title":"Minisom: Minimalistic and Numpy-Based Implementation of the Self Organizing Map","year":"2018","author":"Vettigli","key":"ref35"},{"article-title":"CuPy: A NumPy-compatible library for NVIDIA GPU calculations","volume-title":"Proc. Workshop Mach. Learn. Syst. (LearningSys) 31st Annu. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Okuta","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2649-2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v078.i09"},{"volume-title":"Tensorflow Self-organizing Map","year":"2019","author":"Gorman","key":"ref39"},{"volume-title":"HDL Coder\u2014Generate Verilog, SystemVerilog, and VHDL Code for FPGA and ASIC Designs","year":"2024","key":"ref40"},{"volume-title":"AMD Vitis Model Composer","year":"2024","key":"ref41"},{"volume-title":"UltraScale Architecture Memory Resources User Guide (UG573). English Version 1.13","year":"2021","author":"Devices","key":"ref42"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1063\/1.3061234"},{"volume-title":"C++ Library for FPGA Access and Programming","year":"2023","author":"Porrmann","key":"ref44"},{"volume-title":"TCP0030 120 MHz, 30 A AC\/DC Current Probe Instruction Manual","year":"2006","key":"ref45"},{"volume-title":"UltraScale Architecture and Product Data Sheet: Overview (DS890). English Version 4.4.1","year":"2023","author":"Devices","key":"ref46"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10701536.pdf?arnumber=10701536","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T14:37:44Z","timestamp":1728571064000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10701536\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3471471","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2024]]}}}