Accelerating symbolic computations on NVIDIA Fermi

Abstract

We present the first implementation of a modular resultant algorithm on GPUs [4, 5]. With recent developments taking advantage of new NVidia Fermi GPU architecture and instruction set we have been able to achieve about 150x speedup over the CPU-based resultant algorithm from Maple 13.

Publication
In GTC (Poster)