Cache Replacement Championship Traces
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/chledowski/Robust-Learning-Augmented-Caching-An-Experimental-Study-Datasets
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资源简介：
该数据集包含了来自SPEC CPU2006基准测试的实际内存访问痕迹，这些数据被用于评估增强学习的缓存算法。该数据集由经过抽样的痕迹组成，并分为训练集、验证集和测试集。由于数据收集和后期处理上的微小差异，可能会出现不同的特性。所涉及的任务是缓存优化。
This dataset contains actual memory access traces from the SPEC CPU2006 benchmark, which is employed to evaluate reinforcement learning-based cache algorithms. The dataset consists of sampled traces and is split into training, validation, and test subsets. Minor differences in data collection and post-processing may lead to varying characteristics across the traces. The relevant task for this dataset is cache optimization.
提供机构：
Cache Replacement Championship
