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On the hard-real-time scheduling of embedded streaming applications., and . Des. Autom. Embed. Syst., 17 (2): 221-249 (2013)Memory-Throughput Trade-off for CNN-Based Applications at the Edge., and . ACM Trans. Design Autom. Electr. Syst., 28 (1): 2:1-2:26 (January 2023)Mapping of streaming applications considering alternative application specifications., , and . ACM Trans. Embed. Comput. Syst., 12 (1s): 34:1-34:21 (2013)An accurate energy model for streaming applications mapped on MPSoC platforms., and . ICSAMOS, page 205-212. IEEE, (2013)On compile-time evaluation of process partitioning transformations for Kahn process networks., , and . CODES+ISSS, page 31-40. ACM, (2009)Hard Real-Time Scheduling of Streaming Applications Modeled as Cyclic CSDF Graphs., , and . DATE, page 1549-1554. IEEE, (2019)EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees., , , , , , and . RTSS, page 35-46. IEEE Computer Society, (2016)Energy-Efficient and High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs., , and . SAMOS, volume 13227 of Lecture Notes in Computer Science, page 127-143. Springer, (2021)System-level scheduling of real-time streaming applications using a semi-partitioned approach., , and . DATE, page 1-6. European Design and Automation Association, (2014)Combining process splitting and merging transformations for Polyhedral Process Networks., , and . ESTIMedia, page 97-106. IEEE Computer Society, (2010)