High accuracy gravitational waveforms from black hole binary inspirals using OpenCL
High accuracy gravitational waveforms from black hole binary inspirals using OpenCL
复制标题
使用 OpenCL 获得黑洞双星螺旋的高精度引力波形
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
G. Khanna
中科院分区：
文献类型：
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作者：
J. McKennon;G. Forrester;G. Khanna
对极质量比双黑洞系统进行高精度和高效率的建模是非常有必要的，因为它们是未来天文台将探测到的引力波的强大来源。在本文中，我们展示了Teukolsky EMRI代码的样本结果：一个时域Teukolsky方程解算器(一种使用有限差分的线性、双曲、偏微分方程解算器)，它利用几个数学和计算方面的改进来高效地生成长持续时间和高精度的EMRI波形。
我们在这里强调在此代码的上下文中取得的计算进步。目前，人们对利用多核处理器体系结构(如用于科学计算的NVIDIA和AMD图形处理单元(GPU))非常感兴趣。我们的代码使用开放计算语言(OpenCL)来利用现代GPU架构提供的大规模并行性。我们展示了我们的Teukolsky EMRI代码在多种现代处理器架构上的性能，并展示了它能够实现的高水平的准确性和性能。我们还给出了代码在一台大型超级计算机上的伸缩性能，即NSF的XSEDE资源Keeneland1。
There is a strong need for high-accuracy and efficient modeling of extreme-mass-ratio binary black hole systems because these are strong sources of gravitational waves that would be detected by future observatories. In this article, we present sample results from our Teukolsky EMRI code: a time-domain Teukolsky equation solver (a linear, hyperbolic, partial differential equation solver using finite-differencing), that takes advantage of several mathematical and computational enhancements to efficiently generate long-duration and high-accuracy EMRI waveforms.
We emphasize here the computational advances made in the context of this code. Currently there is considerable interest in making use of many-core processor architectures, such as Nvidia and AMD graphics processing units (GPUs) for scientific computing. Our code uses the Open Computing Language (OpenCL) for taking advantage of the massive parallelism offered by modern GPU architectures. We present the performance of our Teukolsky EMRI code on multiple modern processor architectures and demonstrate the high level of accuracy and performance it is able to achieve. We also present the code's scaling performance on a large supercomputer i.e. NSF's XSEDE resource, Keeneland1.