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High performance clustering of social images in a map-collective programming model., and . SoCC, page 44:1-44:2. ACM, (2013)Scalable parallel computing on clouds using Twister4Azure iterative MapReduce., , , and . Future Gener. Comput. Syst., 29 (4): 1035-1048 (2013)High Performance LDA through Collective Model Communication Optimization., , and . ICCS, volume 80 of Procedia Computer Science, page 86-97. Elsevier, (2016)Fault Tolerance in Iterative-Convergent Machine Learning., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5220-5230. PMLR, (2019)Model-centric computation abstractions in machine learning applications., , and . BeyondMR@SIGMOD, page 3. ACM, (2016)Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters., , , , , , , , , and 3 other author(s). CLOUD, page 82-89. IEEE Computer Society, (2017)Applying Twister to Scientific Applications., , , , , and . CloudCom, page 25-32. IEEE Computer Society, (2010)A Collective Communication Layer for the Software Stack of Big Data Analytics.. IC2E Workshops, page 204-206. IEEE Computer Society, (2016)HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency., , , , , , , , , and 2 other author(s). IEEE BigData, page 243-252. IEEE Computer Society, (2017)Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA., , , , and . CoRR, (2017)