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On the hard-real-time scheduling of embedded streaming applications., и . Des. Autom. Embed. Syst., 17 (2): 221-249 (2013)Mapping of streaming applications considering alternative application specifications., , и . ACM Trans. Embed. Comput. Syst., 12 (1s): 34:1-34:21 (2013)Memory-Throughput Trade-off for CNN-Based Applications at the Edge., и . ACM Trans. Design Autom. Electr. Syst., 28 (1): 2:1-2:26 (января 2023)System-level scheduling of real-time streaming applications using a semi-partitioned approach., , и . DATE, стр. 1-6. European Design and Automation Association, (2014)Energy-Efficient and High-Throughput CNN Inference on Embedded CPUs-GPUs MPSoCs., , и . SAMOS, том 13227 из Lecture Notes in Computer Science, стр. 127-143. Springer, (2021)Low-memory and high-performance CNN inference on distributed systems at the edge., и . UCC Companion, стр. 26:1-26:8. ACM, (2021)Combining process splitting and merging transformations for Polyhedral Process Networks., , и . ESTIMedia, стр. 97-106. IEEE Computer Society, (2010)An accurate energy model for streaming applications mapped on MPSoC platforms., и . ICSAMOS, стр. 205-212. IEEE, (2013)Hard Real-Time Scheduling of Streaming Applications Modeled as Cyclic CSDF Graphs., , и . DATE, стр. 1549-1554. IEEE, (2019)On compile-time evaluation of process partitioning transformations for Kahn process networks., , и . CODES+ISSS, стр. 31-40. ACM, (2009)