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Titlebook: Japanese Supercomputing; Architecture, Algori Raul H. Mendez,Steven A. Orszag Conference proceedings 1988 Springer-Verlag New York Inc. 198

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書目名稱Japanese Supercomputing
副標(biāo)題Architecture, Algori
編輯Raul H. Mendez,Steven A. Orszag
視頻videohttp://file.papertrans.cn/501/500593/500593.mp4
叢書名稱Lecture Notes in Engineering
圖書封面Titlebook: Japanese Supercomputing; Architecture, Algori Raul H. Mendez,Steven A. Orszag Conference proceedings 1988 Springer-Verlag New York Inc. 198
出版日期Conference proceedings 1988
關(guān)鍵詞algorithms; computer; performance; simulation; supercomputer; complexity
版次1
doihttps://doi.org/10.1007/978-1-4613-9600-0
isbn_softcover978-0-387-96765-3
isbn_ebook978-1-4613-9600-0Series ISSN 0176-5035
issn_series 0176-5035
copyrightSpringer-Verlag New York Inc. 1988
The information of publication is updating

書目名稱Japanese Supercomputing影響因子(影響力)




書目名稱Japanese Supercomputing影響因子(影響力)學(xué)科排名




書目名稱Japanese Supercomputing網(wǎng)絡(luò)公開度




書目名稱Japanese Supercomputing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Japanese Supercomputing被引頻次




書目名稱Japanese Supercomputing被引頻次學(xué)科排名




書目名稱Japanese Supercomputing年度引用




書目名稱Japanese Supercomputing年度引用學(xué)科排名




書目名稱Japanese Supercomputing讀者反饋




書目名稱Japanese Supercomputing讀者反饋學(xué)科排名




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Supercomputing for Plasma MHD Simulations,y, it is demonstrated that some important arid very complicated problems can be solved by the supercomputing with the algorithms pertinently designed; in particular, catastrophic events, such as solar flares and geomagnetic substorms, are studied.
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Vectorization of Lanczos Algorithms on Supercomputer SX System,) algorithms are applied to compute a few outer eigenvalues and eigenvectors of matrices which are obtained by a discretization of a Laplace equation. We found that the Lanczos algorithm with full reorthogonalization is suitable for vector machine and to be one of the powerful algorithms for large matrix eigenvalue problems.
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Use of Multicolor Vectorization of Incomplete LU Preconditioning for the Wilson Fermion on the Lattion parameter, the total computing time may be smaller due to computational advantages. The multicolor vectorization is preferable, if the computing time for one iteration is smaller than that of the hyperplane vectorization by a factor of two or more.
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Computational Study on Aerodynamic Characteristics of Automobiles,he force from the wind, the engine cooling, and the air-conditioning. Grid systems for complicated geometries are generated algebrically using Nissan CAD system. Computational results agree well with experiments. It is found that the third-order-upwind scheme is very useful to predict aerodynamic ch
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