Training and testing dataset for SNN
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Dataset used for training and testing the SNN model to predict value of partial computations of LAC application. Each even row represents a parametrization of a task, and each odd row represents a cache signature at the moment the task arrived.
本数据集用于训练与测试脉冲神经网络(Spiking Neural Network, SNN)模型,以预测LAC应用的部分计算值。该数据集中,偶数行代表单个任务的参数化配置,奇数行则对应任务抵达时刻的缓存签名(cache signature)。
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Zenodo创建时间:
2022-07-05



