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Reinforcement Learning Enabled Multi-Layered NoC for Mixed Criticality Systems., , , и . MCSoC, стр. 38-44. IEEE, (2023)Enhanced Accelerator Design for Efficient CNN Processing with Improved Row-Stationary Dataflow., , , и . ACM Great Lakes Symposium on VLSI, стр. 151-157. ACM, (2024)Hybrid Prototyping for Manycore Design and Validation., , и . ARC, том 11444 из Lecture Notes in Computer Science, стр. 319-333. Springer, (2019)A Hybrid Prototyping Framework in a Virtual Platform Centered Design and Verification Flow., , и . IEEE Embed. Syst. Lett., 13 (1): 1-4 (2021)DREAM: Distributed Reinforcement Learning Enabled Adaptive Mixed-Critical NoC., , , , и . ISVLSI, стр. 1-6. IEEE, (2023)Non-Intrusive Runtime Monitoring for Manycore Prototypes., , , и . DroneSE/RAPIDO@HiPEAC, стр. 31-38. ACM, (2023)Low-latency inter-domain communication on the Xen hypervisor., , и . MCSoC, стр. 340-346. IEEE, (2023)Transparent Near-Memory Computing with a Reconfigurable Processor., , и . ARC, том 12700 из Lecture Notes in Computer Science, стр. 221-231. Springer, (2021)Approximate Accelerators: A Case Study using Runtime Reconfigurable Processors., , и . SOCC, стр. 1-6. IEEE, (2023)Dynamic and scalable runtime block-based multicast routing for networks on chips., , , , и . NoCArc@MICRO, стр. 10:1-10:6. ACM, (2019)