Poster
@InProceedings, Poster

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Author, Editor

Author(s):

Emeliyanenko, Pavel

dblp



Editor(s):





BibTeX cite key*:

Emel-gtc-10

Title, Booktitle

Title*:

Accelerating Symbolic Computations on NVIDIA Fermi

Booktitle*:

Poster presentation at GTC'10 (NVIDIA research summit)

Event, URLs

Language:

English

URL of the conference:


Event Address*:

San Jose, California

URL for downloading the paper:


Event Date*:


Organization:


Event Start Date:

20 September 2010

Event End Date:

23 September 2010

Publisher

Publisher's Name*:

NVIDIA

Publisher's URL:


Publisher's Address*:

San Jose, California

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:


Pages*:

-

Year*:

2010

VG Wort Pages:


ISBN/ISSN:


Sequence Number:






Note, Abstract, ©

Note:


(LaTeX) Abstract:

We present the first implementation of a complete modular resultant algorithm on the graphics hardware. Our recent developments taking advantage of new NVidia Fermi GPU architecture and instruction set allowed us to achieve about 150x speed-up over a modular resultant algorithm from Maple 13.

URL for the Abstract:


Categories / Keywords:


HyperLinks / References / URLs:

http://www.nvidia.com/object/research_summit_posters_2010.html

Copyright Message:


Personal Comments:


Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Algorithms and Complexity Group

Appearance:

MPII WWW Server, MPII FTP Server, university publications list, working group publication list, Fachbeirat, VG Wort

BibTeX Entry:
@INPROCEEDINGS{Emel-gtc-10,
AUTHOR = {Emeliyanenko, Pavel},
TITLE = {Accelerating Symbolic Computations on NVIDIA Fermi},
BOOKTITLE = {Poster presentation at GTC'10 (NVIDIA research summit)},
PUBLISHER = {NVIDIA},
YEAR = {2010},
PAGES = {--},
ADDRESS = {San Jose, California},
}


Entry last modified by Pavel Emeliyanenko, 07/08/2014
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Editor(s)
[Library]
Created
01/21/2011 06:13:31 PM
Revision
0.



Editor
Pavel Emeliyanenko



Edit Date
01/21/2011 06:13:31 PM



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