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Model-based dynamic scheduling for multicore implementation of image processing systems.

, , , and . SiPS, page 1-6. IEEE, (2017)

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A design tool for high performance image processing on multicore platforms., , , and . DATE, page 1304-1309. IEEE, (2018)Characterization of AI Model Configurations for Model Reuse., , , , and . ECCV Workshops (4), volume 13804 of Lecture Notes in Computer Science, page 454-469. Springer, (2022)Model-based dynamic scheduling for multicore implementation of image processing systems., , , and . SiPS, page 1-6. IEEE, (2017)MIST: Microscopy Image Stitching Tool., , , , , and . BIBM, page 1757. IEEE Computer Society, (2015)Extending Hedgehog's Dataflow Graphs to Multi-node GPU Architectures., , , , and . WAMTA, volume 13861 of Lecture Notes in Computer Science, page 1-12. Springer, (2023)A hybrid task graph scheduler for high performance image processing workflows., , , , and . GlobalSIP, page 634-637. IEEE, (2015)Acceleration and Parallelization of ZENO/Walk-on-Spheres., , , and . ICCS, volume 80 of Procedia Computer Science, page 269-278. Elsevier, (2016)Hedgehog: Understandable Scheduler-Free Heterogeneous Asynchronous Multithreaded Data-Flow Graphs., , , , , and . PAW-ATM@SC, page 1-15. IEEE, (2020)A Hybrid CPU-GPU System for Stitching Large Scale Optical Microscopy Images., , , , , and . ICPP, page 1-9. IEEE Computer Society, (2014)