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Parallel batch pattern training of neural networks on computational clusters.

, , and . HPCS, page 202-208. IEEE, (2012)

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High Performance Computing and Big Data Convergence: A Technical Review., and . TopHPC, volume 33 of Advances in Parallel Computing, page 21-31. IOS Press, (2017)Autonomic resource contention-aware scheduling., , , and . Softw. Pract. Exp., 45 (2): 161-175 (2015)Applications of neural-based spot market prediction for cloud computing., , , , , , and . IDAACS, page 710-716. IEEE, (2013)Adaptive Load Balancing Dashboard in Dynamic Distributed Systems., , and . Supercomput. Front. Innov., 4 (4): 34-49 (2017)A Prototype Implementation of Desktop Clouds., , and . High Performance Computing Workshop, volume 20 of Advances in Parallel Computing, page 124-137. IOS Press, (2010)Short-term stock price prediction using MLP in moving simulation mode., , , and . IDAACS (2), page 666-671. IEEE, (2011)978-1-4577-1426-9.Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI., , , and . ICCS, volume 1 of Procedia Computer Science, page 525-533. Elsevier, (2010)Energy Aware Consolidation Policies., , and . PARCO, volume 22 of Advances in Parallel Computing, page 109-116. IOS Press, (2011)CAMD and TeleEEG: Software Tools for Telemedicine Applications., , and . HPCN Europe, volume 1401 of Lecture Notes in Computer Science, page 64-73. Springer, (1998)An approximate ϵϵ-constraint method for a multi-objective job scheduling in the cloud., , and . Future Gener. Comput. Syst., 29 (8): 1901-1908 (2013)