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  Accelerating Symbolic Computations on NVidia Fermi

Emeliyanenko, P. (2010). Accelerating Symbolic Computations on NVidia Fermi. Poster presented at GPU Technology Conference, San Jose, CA, USA.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-D644-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-D646-C
Genre: Poster
Latex : Accelerating Symbolic Computations on {NVidia} {Fermi}

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 Creators:
Emeliyanenko, Pavel1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 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.

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Language(s): eng - English
 Dates: 2010
 Publication Status: Published online
 Pages: -
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 Rev. Type: -
 Identifiers: BibTex Citekey: Emel-gtc-10
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Title: GPU Technology Conference
Place of Event: San Jose, CA, USA
Start-/End Date: 2010-09-20 - 2010-09-23

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Title: Poster presentation at GTC'10 (NVIDIA research summit)
  Abbreviation : GTC 2010
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -