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Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA., , , , и . ISVLSI, стр. 371-372. IEEE, (2022)Transparent Near-Memory Computing with a Reconfigurable Processor., , и . ARC, том 12700 из Lecture Notes in Computer Science, стр. 221-231. Springer, (2021)An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload., , , , , и . DroneSE/RAPIDO@HiPEAC, стр. 73-78. ACM, (2023)In-NoC Circuits for Low-Latency Cache Coherence in Distributed Shared-Memory Architectures., , , , , и . MCSoC, стр. 138-145. IEEE Computer Society, (2018)Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency., , , , , , и . SOCC, стр. 1-6. IEEE, (2023)Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA., , , , , , и . PKDD/ECML Workshops (1), том 1752 из Communications in Computer and Information Science, стр. 557-568. Springer, (2022)SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and Accelerators., , , , , и . ACM Great Lakes Symposium on VLSI, стр. 287-292. ACM, (2023)Runtime Adaptive Cache Checkpointing for RISC Multi-Core Processors., , , , , и . SOCC, стр. 1-6. IEEE, (2022)Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen., , , , , , и . MECO, стр. 1-4. IEEE, (2022)Automated Replacement of State-Holding Flip-Flops to Enable Non-Volatile Checkpointing., , , , , , и . NorCAS, стр. 1-7. IEEE, (2023)