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On Issues Concerning Cloud Environments in Scope of Scalable Multi-Projection Methods.

, , , and . SYNASC, page 343-350. IEEE, (2016)

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On Issues Concerning Cloud Environments in Scope of Scalable Multi-Projection Methods., , , and . SYNASC, page 343-350. IEEE, (2016)Hybrid multi-projection method using sparse approximate inverses on GPU clusters., , and . Int. J. High Perform. Comput. Appl., (2020)A scalable and adaptable allocation framework for heterogeneous resources in a large cluster environment., , and . Concurr. Comput. Pract. Exp., (2021)Incomplete inverse matrices.. Numer. Linear Algebra Appl., (2021)An iterative spatial-stepping numerical method for linear elliptic PDEs using the Unified Transform., , , and . J. Comput. Appl. Math., (2019)Simulating large vCDN networks: A parallel approach., , , , , , and . Simul. Model. Pract. Theory, (2019)Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices., , , and . ICCS (4), volume 12745 of Lecture Notes in Computer Science, page 229-242. Springer, (2021)Special section: towards high performance computing in the cloud., , , and . J. Supercomput., 74 (2): 527-529 (2018)Large-scale simulation of a self-organizing self-management cloud computing framework., , , and . J. Supercomput., 74 (2): 530-550 (2018)On the Optimization of Self-Organization and Self-Management Hardware Resource Allocation for Heterogeneous Clouds., , , and . Comput., 10 (11): 147 (2021)