在图形处理器上集成后牛顿方程
Integrating Post-Newtonian Equations on Graphics Processing Units
摘要：
我们报告的早期结果的数值和统计研究的二元黑洞inspirals。这两个黑洞是使用后牛顿近似从最初随机分布的自旋矢量开始演化的。我们在合并前不久描述了分配的某些方面。特别是，我们注意到的均匀分布的黑洞自旋矢量点产品合并前不久和初始和最终的黑洞自旋矢量点产品之间的高相关性在等质量，最大自旋的情况下。这些模拟是在图形处理单元上进行的，我们证明了一个更传统的CPU实现的50倍的速度。
英文摘要：
We report on early results of a numerical and statistical study of binary black hole inspirals. The two black holes are evolved using post-Newtonian approximations starting with initially randomly distributed spin vectors. We characterize certain aspects of the distribution shortly before merger. In particular we note the uniform distribution of black hole spin vector dot products shortly before merger and a high correlation between the initial and final black hole spin vector dot products in the equal-mass, maximally spinning case. These simulations were performed on Graphics Processing Units, and we demonstrate a speed-up of a factor 50 over a more conventional CPU implementation.
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