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GTC ON-DEMAND

Developer - Algorithms
Presentation
Media
Accelerating Symbolic Computations on NVIDIA Fermi
Speakers:
Pavel Emeliyanenko
- Max-Planck Institute for Informatics
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.
 
Topics:
Developer - Algorithms
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10A02
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