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Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency.

, , , , , , and . SOCC, page 1-6. IEEE, (2023)

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Transparent Near-Memory Computing with a Reconfigurable Processor., , and . ARC, volume 12700 of Lecture Notes in Computer Science, page 221-231. Springer, (2021)An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload., , , , , and . DroneSE/RAPIDO@HiPEAC, page 73-78. ACM, (2023)Data Movement Reduction for DNN Accelerators: Enabling Dynamic Quantization Through an eFPGA., , , , and . ISVLSI, page 371-372. IEEE, (2022)KIHT: Kaligo-Based Intelligent Handwriting Teacher., , , , , , , , , and 1 other author(s). DATE, page 1-6. IEEE, (2024)In-NoC Circuits for Low-Latency Cache Coherence in Distributed Shared-Memory Architectures., , , , , and . MCSoC, page 138-145. IEEE Computer Society, (2018)Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency., , , , , , and . SOCC, page 1-6. IEEE, (2023)Towards Reconfigurable Accelerators in HPC: Designing a Multipurpose eFPGA Tile for Heterogeneous SoCs., , , , , , , , , and . DATE, page 628-631. IEEE, (2022)ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications., , , , , , , , , and 1 other author(s). DSD, page 569-576. IEEE, (2023)Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications., , , , , , and . DCOSS, page 133-140. IEEE, (2022)Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems., , , , and . MCSoC, page 97-104. IEEE, (2023)