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CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi.

, , , and . J. Supercomput., 75 (1): 197-227 (2019)

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Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures., , , and . HPCS, page 724-731. IEEE, (2019)CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi., , , and . CoRR, (2017)Evaluating the performance of object-oriented and data-oriented design with multi-threading in game development., , and . GEM, page 1-6. IEEE, (2022)A Review of Machine Learning and Meta-heuristic Methods for Scheduling Parallel Computing Systems., , , , and . LOPAL, page 5:1-5:6. ACM, (2018)Accelerating DNA Sequence Analysis Using Intel(R) Xeon Phi(TM)., and . TrustCom/BigDataSE/ISPA (3), page 222-227. IEEE, (2015)978-1-4673-7952-6.Customizing Pareto Simulated Annealing for Multi-Objective Optimization of Control Cabinet Layout., , and . CSCS, page 78-85. IEEE, (2019)Accelerating DNA Sequence Analysis using Intel Xeon Phi., and . CoRR, (2015)IoTutor: How Cognitive Computing Can Be Applied to Internet of Things Education., , , , and . IFIPIoT@WCC, volume 548 of IFIP Advances in Information and Communication Technology, page 218-233. Springer, (2018)PaREM: A Novel Approach for Parallel Regular Expression Matching., and . CSE, page 690-697. IEEE Computer Society, (2014)Analyzing Large-Scale DNA Sequences on Multi-core Architectures., and . CSE, page 208-215. IEEE Computer Society, (2015)