Multivariate Polynomial Multiplication on GPU
Copyright policy )Multivariate Polynomial Multiplication on GPU
AbstractMultivariate polynomial multiplication is a fundamental operation which is used in many scientific domains, for example in the optics code for particle accelerator design at CERN. We present a novel and efficient multivariate polynomial multiplication algorithm for GPUs using floating-point double precision coefficients implemented using the CUDA parallel programming platform. We obtain very good speedups over another multivariate polynomial multiplication library for GPUs (up to 548x), and over the implementation of our algorithm for multi-core machines using OpenMP (up to 7.46x).
- University of Cambridge United Kingdom
- Computer Laboratory University of Cambridge United Kingdom
- European Organization for Nuclear Research Switzerland
multivariate polynomial multiplication, particle accelerator design, GPU, CUDA, computer algebra
multivariate polynomial multiplication, particle accelerator design, GPU, CUDA, computer algebra
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