Published November 1, 2010
| Version v1
Journal article
Fast polynomial multiplication on a GPU
Description
We present CUDA implementations of Fast Fourier Transforms over finite fields. This allows us to develop GPU support for dense univariate polynomial multiplication leading to speedup factors in the range 21 - 37 with respect to the best serial C-code available to us, for our largest input data sets. Since dense univariate polynomial multiplication is a core routine in symbolic computation, this is promising result for the integration of GPU support into computer algebra systems.
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/256/1/012009Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 256
- Journal Issue
- 1
- Journal Page Range
- [13 p.]
- ISSN
- 1742-6596
Conference
- Title
- High performance computing symposium
- Acronym
- HPCS2010
- Dates
- 5-9 Jun 2010
- Place
- Toronto (Canada)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 43034211
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGEBRA; C CODES; CALCULATION METHODS; DATA PROCESSING; FOURIER TRANSFORMATION; POLYNOMIALS
- Descriptors DEC
- COMPUTER CODES; FUNCTIONS; INTEGRAL TRANSFORMATIONS; MATHEMATICS; PROCESSING; TRANSFORMATIONS