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Online Service Migration in Mobile Edge With Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach., , , , и . IEEE Trans. Mob. Comput., 22 (11): 6663-6675 (ноября 2023)Productivity of GPUs under different programming paradigms., , , , , и . Concurr. Comput. Pract. Exp., 24 (2): 179-191 (2012)Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing., , и . Comput., 2 (4): 176-214 (2013)A Deep Neural Network Accelerator using Residue Arithmetic in a Hybrid Optoelectronic System., , , , , и . ACM J. Emerg. Technol. Comput. Syst., 18 (4): 81:1-81:26 (2022)A Vector-space Model for Parallel Workload Characterization., , и . J. King Saud Univ. Comput. Inf. Sci., (1999)Analog Computing with Metatronic Circuits., , , , , , , и . CoRR, (2020)System-level parallelism and concurrency maximisation in reconfigurable computing applications., , , , , и . Int. J. Embed. Syst., 2 (1/2): 62-72 (2006)Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning., , , , и . IEEE Trans. Parallel Distributed Syst., 31 (4): 923-934 (2020)Performance issues in emerging homogeneous multi-core architectures., , и . Simul. Model. Pract. Theory, 17 (9): 1485-1499 (2009)Software for Brain Network Simulations: A Comparative Study., , , и . Frontiers Neuroinformatics, (2017)