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With the rapidly increasing applications of deep learning, LSTM-RNNs are widely used. Meanwhile, the complex data dependence and intensive computation limit the performance of the accelerators. In this paper, we first proposed a hybrid network expansion model to exploit the finegrained data parallelism. Based on the model, we implemented a Reconfigurable Processing Unit(RPU) using Processing In Memory(PIM)...
Prognostics and Health Management (PHM) can enhance reliability and reduce maintenance costs of the target system by providing advance warning of failure. To achieve the goals of PHM, prognostics is the most important and crucial. Prognostic approaches can be roughly divided into two categories: model-based methods and data-driven methods, both of which have advantages and limitations. To overcome...
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