Arithmetic precision

Results: 543



#Item
11Worst Cases for the Exponential Function in the IEEE 754r decimal64 Format Vincent Lefèvre, Damien Stehlé, Paul Zimmermann LORIA / INRIA Lorraine  JNAO 2006

Worst Cases for the Exponential Function in the IEEE 754r decimal64 Format Vincent Lefèvre, Damien Stehlé, Paul Zimmermann LORIA / INRIA Lorraine JNAO 2006

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Source URL: www.vinc17.org

Language: English - Date: 2015-06-18 06:12:50
12Hardest-to-Round Cases – Part 2 Vincent LEFÈVRE AriC, INRIA Grenoble – Rhône-Alpes / LIP, ENS-Lyon Journées TaMaDi, Lyon,

Hardest-to-Round Cases – Part 2 Vincent LEFÈVRE AriC, INRIA Grenoble – Rhône-Alpes / LIP, ENS-Lyon Journées TaMaDi, Lyon,

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Source URL: www.vinc17.org

Language: English - Date: 2015-06-18 06:12:50
13Introduction to the GNU MPFR Library Vincent LEFÈVRE AriC, INRIA Grenoble – Rhône-Alpes / LIP, ENS-Lyon GdT AriC,

Introduction to the GNU MPFR Library Vincent LEFÈVRE AriC, INRIA Grenoble – Rhône-Alpes / LIP, ENS-Lyon GdT AriC,

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Source URL: www.vinc17.org

Language: English - Date: 2015-06-18 06:12:50
14Floating-Point Precision Tuning Using Blame Analysis ⇤ ⇤  Cindy Rubio-Gonz´alez1 , Cuong Nguyen2 , Benjamin Mehne2 , Koushik Sen2 , James Demmel2 ,

Floating-Point Precision Tuning Using Blame Analysis ⇤ ⇤ Cindy Rubio-Gonz´alez1 , Cuong Nguyen2 , Benjamin Mehne2 , Koushik Sen2 , James Demmel2 ,

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Source URL: crd.lbl.gov

Language: English - Date: 2016-06-01 22:22:47
15Why and how to use arbitrary precision Kaveh R. Ghazi Vincent Lefèvre  Philippe Théveny

Why and how to use arbitrary precision Kaveh R. Ghazi Vincent Lefèvre Philippe Théveny

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Source URL: perso.ens-lyon.fr

Language: English - Date: 2010-04-14 11:12:59
16Fast Reproducible Floating-Point Summation James Demmel, Hong Diep Nguyen ParLab - EECS - UC Berkeley ARITH 21 April 7-10, 2013

Fast Reproducible Floating-Point Summation James Demmel, Hong Diep Nguyen ParLab - EECS - UC Berkeley ARITH 21 April 7-10, 2013

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Source URL: bebop.cs.berkeley.edu

Language: English - Date: 2013-11-23 11:48:09
17Estimation d’arrondis, analyse de stabilité des grands codes de calcul numérique Jean-Marie Chesneaux, Fabienne Jézéquel, Jean-Luc Lamotte, Jean Vignes Laboratoire d’Informatique de Paris 6, P. and M. Curie Unive

Estimation d’arrondis, analyse de stabilité des grands codes de calcul numérique Jean-Marie Chesneaux, Fabienne Jézéquel, Jean-Luc Lamotte, Jean Vignes Laboratoire d’Informatique de Paris 6, P. and M. Curie Unive

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Source URL: www.gdr-mascotnum.fr

Language: English
18Efficient Reproducible Floating-Point Reduction Operations on Large Scale Systems James Demmel, Hong Diep Nguyen ParLab - EECS - UC Berkeley  SIAM AN13 Jul 8-12, 2013

Efficient Reproducible Floating-Point Reduction Operations on Large Scale Systems James Demmel, Hong Diep Nguyen ParLab - EECS - UC Berkeley SIAM AN13 Jul 8-12, 2013

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Source URL: bebop.cs.berkeley.edu

Language: English - Date: 2013-11-23 11:48:10
19Denison University  Floa.ng	Point
 
  CS-281:	Introduc.on	to	Computer	Systems

Denison University Floa.ng Point
 
 CS-281: Introduc.on to Computer Systems

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Source URL: personal.denison.edu

Language: English - Date: 2015-12-02 11:24:11
20Floating-Point Precision Tuning Using Blame Analysis Cuong Nguyen1 , Cindy Rubio-Gonz´alez1 , Benjamin Mehne1 , Koushik Sen1 , James Demmel1 , William Kahan1 , Costin Iancu2 , Wim Lavrijsen2 , David H. Bailey2 , and Dav

Floating-Point Precision Tuning Using Blame Analysis Cuong Nguyen1 , Cindy Rubio-Gonz´alez1 , Benjamin Mehne1 , Koushik Sen1 , James Demmel1 , William Kahan1 , Costin Iancu2 , Wim Lavrijsen2 , David H. Bailey2 , and Dav

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Source URL: crd.lbl.gov

Language: English - Date: 2015-04-20 03:24:44