Graphics processing units and genetic programming: an overview
Graphics processing units and genetic programming: an overview
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DOI：
10.1007/s00500-011-0695-2
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发表时间：
2011-08-01
期刊：
影响因子：
4.1
通讯作者：
Langdon，W. B.
中科院分区：
文献类型：
--
作者：
Langdon，W. B.
一个高端的图形卡（GPU）加上一个合适的SIMD解释器可以提供几百倍的速度，但成本低于计算机持有它。我们重点介绍了人工智能和计算智能应用在通用计算图形硬件（GPGPU）的新领域。特别是，我们调查了遗传编程（GP）与GPU的使用。我们给出了生物信息学的几个应用程序，并展示了最快的GP是如何基于解释器而不是编译的。最后给出了利用GP生成GPU CUDA内核C++代码的过程。
A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI and computational intelligence applications in the new field of general purpose computing on graphics hardware (GPGPU). In particular, we surveyed genetic programming (GP) use with GPU. We gave several applications from Bioinformatics and showed that how the fastest GP is based on an interpreter rather than compilation. Finally using GP to generate GPU CUDA kernel C++ code is sketched.