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Efficient method for AI computing.. VLSI-DAT, стр. 1. IEEE, (2018)Performance Investigation of Weighted Meta-scheduling Algorithm for Scientific Grid., , , и . GCC, том 3795 из Lecture Notes in Computer Science, стр. 1021-1030. Springer, (2005)Models and Heuristics for Resource Co-reservation for Parallel Tasks in Computational Grids., , , и . Neural Parallel Sci. Comput., 12 (3): 261-288 (2004)DeepHunter: a coverage-guided fuzz testing framework for deep neural networks., , , , , , , , , и . ISSTA, стр. 146-157. ACM, (2019)PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population., , , , , и . EMNLP (Findings), стр. 3379-3394. Association for Computational Linguistics, (2022)Deep Transfer Learning Application for Intelligent Marine Debris Detection., , и . EANN, том 1826 из Communications in Computer and Information Science, стр. 479-490. Springer, (2023)Benchmark Performance on Cluster Grid with NGB., , , , и . IPDPS, IEEE Computer Society, (2004)A GPU Query Accelerator for Geospatial Coordinates Computation., , , и . ICCCRI, стр. 166-172. IEEE Computer Society, (2015)Understanding Performance Portability of OpenACC for Supercomputers., , , , и . IPDPS Workshops, стр. 699-707. IEEE Computer Society, (2015)A Discriminatory Pay-as-Bid Mechanism for Efficient Scheduling in the Sun N1 Grid Engine., , , и . HICSS, стр. 382. IEEE Computer Society, (2008)