Programming parallel computers

Parallel Implementation of MAFFT on CUDA-Enabled Graphics Hardware present a new approach to accelerat- ing MAFFT on Graphics Processing Units (GPUs) using the Compute Unified Device Architecture (CUDA) programming model. Compared with the implementations of other MSA algorithms on GPUs, parallelization of MAFFT is more challenging since the space complexity.

14p ducla78 30-07-2015 48 6   Download

Geo-electrical tomographical software plays a crucial role in geophysical research. However, imported software is expensive and does not provide much customizability, which is essential for more advanced geophysical study. Besides, these programs are unable to exploit the full potential of modern hardware, so the running time is inadequate for large-scale geophysical surveys. It is therefore an essential task to develop domestic software for overcoming all these problems.

60p 01202750693 09-06-2015 62 13   Download