Grid’5000
收藏arXiv2025-09-30 收录
下载链接：
https://www.grid5000.fr/w/Grid5000:Home
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资源简介：
该数据集是一个高性能计算测试平台，用于评估深度学习算法的能量消耗和速度。该数据集包含了如MobileNet-V2、Inception-V3、Inception-V4、Inception-ResNet-V2、ResNet-V2-50、ResNet-V2-152和VGG-16等不同深度学习模型的能量消耗统计和性能指标。此外，该数据集的任务是测量在深度学习模型训练和推理过程中的能量消耗。
This dataset is a high-performance computing testbed for evaluating the energy consumption and speed of deep learning algorithms. It includes energy consumption statistics and performance metrics for various deep learning models such as MobileNet-V2, Inception-V3, Inception-V4, Inception-ResNet-V2, ResNet-V2-50, ResNet-V2-152, and VGG-16. Additionally, the core objective of this dataset is to measure energy consumption during the training and inference phases of deep learning models.
提供机构：
Grid’5000
