Many graphics rendering algorithms used in both real-time games and virtual reality applications can get performance boosts by temporally reusing previous computations. However, algorithms based on temporal reuse are typically measured using trivial benchmarks with very limited dynamic features. To this end, in [1] we presented TauBench 1.0, a benchmark designed to stress temporal reuse algorithms. Now, we release TauBench version 1.1, which improves the usability of the original benchmark. In particular, these improvements reduce the size of the dataset significantly, resulting in faster loading and rendering times, and in better compatibility with 3D software that impose strict size limits for the scenes.

翻译：实时游戏和虚拟现实应用中使用的许多图形渲染算法可以通过时间复用先前计算结果来提升性能。然而，基于时间复用的算法通常采用动态特征极为有限的简单基准进行评测。为此，我们在文献[1]中提出了旨在强化时间复用算法压力测试的TauBench 1.0基准。现发布TauBench 1.1版本，该版本在原有基准可用性方面进行了改进。具体而言，这些改进显著缩减了数据集规模，从而缩短加载与渲染时间，并提升了与对场景尺寸有严格限制的3D软件的兼容性。