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ARTE: An Application-specific Run-Time managEment framework for multi-cores based on queuing models.

, , , and . Parallel Comput., 39 (9): 504-519 (2013)

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Design Space Exploration Supporting Run-Time Resource Management., , , , , , and . Multi-objective Design Space Exploration of Multiprocessor SoC Architectures, Springer, (2011)Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces., , , , , , and . CoRR, (2020)Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy., , , , , and . Vis. Comput., 37 (6): 1593-1610 (2021)A topology design customization approach for STNoC., , , , and . Nano-Net, page 14. ICST/ACM, (2007)Evaluating Run-time Resource Management Policies for Multi-core Embedded Platforms with the EMME Evaluation Framework., , , and . ARCS Workshops, volume P-200 of LNI, page 363-374. GI, (2012)A design space exploration methodology supporting run-time resource management for multi-processor Systems-on-chip., , , and . SASP, page 21-28. IEEE Computer Society, (2009)Mapping and Topology Customization Approaches for Application-Specific STNoC Designs., , , , and . ASAP, page 61-68. IEEE Computer Society, (2007)BAGAN: Data Augmentation with Balancing GAN., , , , and . CoRR, (2018)Efficient Image Dataset Classification Difficulty Estimation for Predicting Deep-Learning Accuracy., , , , , and . CoRR, (2018)NeuNetS: An Automated Synthesis Engine for Neural Network Design., , , , , , , , , and 10 other author(s). CoRR, (2019)