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Titlebook: Embedded Computer Systems: Architectures, Modeling, and Simulation; 22nd International C Alex Orailoglu,Marc Reichenbach,Matthias Jung Conf

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樓主: Coronary-Artery
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發(fā)表于 2025-3-28 16:46:17 | 只看該作者
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發(fā)表于 2025-3-28 20:39:40 | 只看該作者
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發(fā)表于 2025-3-28 23:46:37 | 只看該作者
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發(fā)表于 2025-3-29 05:37:20 | 只看該作者
TREAM: A Tool for?Evaluating Error Resilience of?,e-Based Models Using ,pproximate ,emorytion into the aforementioned parameters. Based on this, we construct a set of experiments using TREAM for different random forest structures and datasets over a set of bit error rates, where the relation between accuracy and bit error rate is considered for error resilience. The results demonstrate
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發(fā)表于 2025-3-29 11:06:29 | 只看該作者
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發(fā)表于 2025-3-29 14:09:32 | 只看該作者
ControlPULP: A RISC-V Power Controller for?HPC Processors with?Parallel Control-Law Computation Accester system with a specialized DMA engine and a fast multi-core interrupt controller for parallel acceleration of real-time power management policies. ControlPULP relies on a real-time OS (FreeRTOS) to schedule a Power Control Firmware (PCF) software layer. We evaluate ControlPULP design choices in
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發(fā)表于 2025-3-29 17:50:40 | 只看該作者
48#
發(fā)表于 2025-3-29 22:27:38 | 只看該作者
A Design Space Exploration Methodology for Enabling Tensor Train Decomposition in Edge Devicesstically pruned by removing inefficient solutions. Our experimental results prove that it is possible to output a limited set of solutions with better accuracy, memory, and FLOPs compared to the original (non-factorized) model. Our methodology has been developed as a standalone, parameterized module
49#
發(fā)表于 2025-3-30 02:28:20 | 只看該作者
Study of?DNN-Based Ragweed Detection from?Dronesectivity. To overcome these challenges, we train state-of-the-art object detection and segmentation models on a ragweed dataset. The best performing segmentation models were compressed using shunt connections, fine-tuned with knowledge distillation, and further optimized with Nvidias TensorRT librar
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發(fā)表于 2025-3-30 05:33:25 | 只看該作者
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