@inbook{7a6d63f05874402b87cd343e2163ca9b,
title = "Large-scale numerical weather prediction on GPU supercomputer: 145.0 TFlops with 3990 GPUs on TSUBAME 2.0",
abstract = "In order to drastically shorten the runtime of a weather prediction code ASUCA developed by the JMA (Japan Meteorological Agency) for the purpose of the next-generation weather forecasting service, the entire parts of the huge code are re-written for GPU computing from scratch. By introducing many optimization techniques and several new algorithms, very high performance of 145 TFlops has been achieved with 3990 GPUs on the TSUBAME 2.0 supercomputer. It is quite meaningful to show that the GPU supercomputing is really available for one of the major applications in the HPC field.",
author = "Takayuki Aoki and Takashi Shimokawabe",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2013.",
year = "2013",
doi = "10.1007/978-3-642-16405-7_16",
language = "English",
series = "Lecture Notes in Earth System Sciences",
publisher = "Springer International Publishing",
number = "9783642164040",
pages = "261--270",
booktitle = "Lecture Notes in Earth System Sciences",
edition = "9783642164040",
}