Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm.

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Bibliographic Details
Title: Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm.
Authors: Zhou, Tong1, Jiang, Jingfei1, jingfeijiang@126.com
Source: Journal of Supercomputing; Nov2016, Vol. 72 Issue 11, p4181-4203, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 119139954
AccessLevel: 2
PubType: Academic Journal
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  Data: Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm.
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  Data: <searchLink fieldCode="AU" term="%22Zhou%2C+Tong%22">Zhou, Tong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Jingfei%22">Jiang, Jingfei</searchLink><relatesTo>1</relatesTo>, <i>jingfeijiang@126.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Nov2016, Vol. 72 Issue 11, p4181-4203, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=119139954
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      – Type: doi
        Value: 10.1007/s11227-016-1767-y
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 4181
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      – TitleFull: Performance modeling of hyper-scale custom machine for the principal steps in block Wiedemann algorithm.
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            NameFull: Zhou, Tong
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            – D: 01
              M: 11
              Text: Nov2016
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              Y: 2016
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