论文标题
部分可观测时空混沌系统的无模型预测
Massively parallel simulations of binary black holes with Dendro-GR
论文作者
论文摘要
我们介绍了新的Dendro-GR代码的结果。其中包括对二进制黑洞合并的模拟质量比，直至Q = 16。 Dendro-gr使用小波自适应多分辨率（WAMR）来生成适用于时空几何形状的非结构化网格，以及基于OCTREE的数据结构。我们展示了良好的缩放，改进的收敛属性以及对计算资源的有效利用。我们通过与Lazev进行比较来验证代码。
We present results from the new Dendro-GR code. These include simulations of binary black hole mergers for mass ratios up to q=16. Dendro-GR uses Wavelet Adaptive Multi-Resolution (WAMR) to generate an unstructured grid adapted to the spacetime geometry together with an octree based data structure. We demonstrate good scaling, improved convergence properties and efficient use of computational resources. We validate the code with comparisons to LazEv.
