{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T08:07:48Z","timestamp":1729670868556,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/bigdata.2017.8257932","type":"proceedings-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T22:47:28Z","timestamp":1516056448000},"page":"243-252","source":"Crossref","is-referenced-by-count":2,"title":["HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency"],"prefix":"10.1109","author":[{"given":"Bo","family":"Peng","sequence":"first","affiliation":[]},{"given":"Bingjing","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Langshi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Mihai","family":"Avram","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Henschel","sequence":"additional","affiliation":[]},{"given":"Craig","family":"Stewart","sequence":"additional","affiliation":[]},{"given":"Shaojuan","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Emily","family":"Mccallum","sequence":"additional","affiliation":[]},{"given":"Lisa","family":"Smith","sequence":"additional","affiliation":[]},{"given":"Tom","family":"Zahniser","sequence":"additional","affiliation":[]},{"given":"Jon","family":"Omer","sequence":"additional","affiliation":[]},{"given":"Judy","family":"Qiu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124312"},{"key":"ref11","article-title":"Scaling distributed machine learning with the parameter server","author":"li","year":"2014","journal-title":"OSDI"},{"key":"ref12","first-page":"1223","article-title":"More effective distributed ml via a stale synchronous parallel parameter server","author":"ho","year":"0","journal-title":"NIPS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961198"},{"key":"ref14","first-page":"2134","article-title":"Parallel inference for latent dirichlet allocation on graphics processing units","author":"yan","year":"2009","journal-title":"NIPS"},{"key":"ref15","first-page":"2834","article-title":"On model parallelization and scheduling strategies for distributed machine learning","author":"lee","year":"2014","journal-title":"NIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2901318.2901331"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.05.300"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14778\/2732967.2732973"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.14778\/2977797.2977801"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2700497"},{"key":"ref6","first-page":"1801","article-title":"Dis-tributed Algorithms for Topic Models","volume":"10","author":"newman","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0307752101"},{"key":"ref8","first-page":"81","article-title":"Asynchronous distributed learning of topic models","author":"smyth","year":"2009","journal-title":"NIPS"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1007\/978-3-642-02158-9_26","article-title":"Plda: Parallel latent dirichlet allocation for large-scale applications","author":"wang","year":"2009","journal-title":"Algorithmic Aspects in Information and Management"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741115"},{"key":"ref1","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920931"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557121"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2668133"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623756"},{"key":"ref23","first-page":"1","article-title":"Scan Order in GIBBS Sampling: Models in Which it Matters and Bounds on How Much","author":"he","year":"2016","journal-title":"NIPS"}],"event":{"name":"2017 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2017,12,11]]},"location":"Boston, MA","end":{"date-parts":[[2017,12,14]]}},"container-title":["2017 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8241556\/8257893\/08257932.pdf?arnumber=8257932","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T11:04:33Z","timestamp":1570619073000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8257932\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2017.8257932","relation":{},"subject":[],"published":{"date-parts":[[2017,12]]}}}