{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T22:07:55Z","timestamp":1762034875006,"version":"build-2065373602"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378150","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"5138-5145","source":"Crossref","is-referenced-by-count":4,"title":["Pseudo-Reconfigurable Heterogeneous Solution for Accelerating Spectral Clustering"],"prefix":"10.1109","author":[{"given":"Mihaela","family":"Malita","sequence":"first","affiliation":[]},{"given":"George Vladut","family":"Popescu","sequence":"additional","affiliation":[]},{"given":"Gheorghe M.","family":"Stefan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Fast Approximate Spectral Clustering for Dynamic Networks","author":"martin","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0191-9"},{"journal-title":"Structured Parallel Programming Patterns for Efficient Computation","year":"2012","author":"mccool","key":"ref12"},{"journal-title":"Nvidia Pascal GP100 GPU Expected to Feature 12 TFLOPs of Single Precision Compute 4 TFLOPs of Double Precision Compute Performance","year":"2016","author":"mujtaba","key":"ref13"},{"key":"ref14","first-page":"201","article-title":"Spectral clustering for a large data set by reducing the similarity matrix size","author":"shinnou","year":"2008","journal-title":"Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC&#x2019;08)"},{"article-title":"The CA1024: A Fully Programmable System-On-Chip for Cost-Effective HDTV Media Processing","year":"0","author":"s\u00b8tefan","key":"ref15"},{"key":"ref16","first-page":"582","article-title":"Can one-chip parallel computing be liberated from ad hoc solutions? A computation model based approach and its implementation","author":"s\u00b8tefan","year":"2014","journal-title":"18th Inter Conf on Circuits Systems Communications and Computers"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472447"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2008.5214359"},{"journal-title":"*** Power Method for Approximating Eigenvalues","year":"0","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1262185"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4064\/-25-1-57-70"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.cam.2014.03.018","article-title":"An efficient and accurate method to compute the Fiedler vector based on Householder deflation and inverse power iteration","volume":"269","author":"jian-ping","year":"2014","journal-title":"Journal of Computational and Applied Mathematics"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICTTA.2008.4529994"},{"key":"ref8","article-title":"Implementarea unui accelerator Map-Reduce sub forma de ASIC (The ASIC Implementation of a Map-Reduce Accelerator)","author":"lupu","year":"2020","journal-title":"Master Thesis (in Romanian)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2016.79"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21136\/CMJ.1973.101168"},{"key":"ref1","article-title":"New Methods for Spectral Clustering","author":"fischer","year":"2004","journal-title":"Technical Report IDSIA-12-04"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1360464.1360474"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378150.pdf?arnumber=9378150","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:58:12Z","timestamp":1656345492000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378150\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378150","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}