Nurfatmawati
16611047
Tuning the cache memory usage in tomographic reconstruction on standart computers with AVX.
Tomography
allows elucidation of the three-dimensional structure of an object from a set
of projection images. In life sciences, electron microscope tomography is
providing invaluable information about the cell structure at a resolution of a
few nanometres. Here, large images are required to combine wide fields of view
with high resolution requirements. The computational complexity of the
algorithms along with the large image size then turns tomographic
reconstruction into a computationally demanding problem. Traditionally,
high-performance computing techniques have been applied to cope with such
demands on supercomputers, distributed systems and computer clusters. In the
last few years, the trend has turned towards graphics processing units (GPUs).
Here we present a detailed description and a thorough evaluation of an
alternative approach that relies on exploitation of the power available in
modern multicore computers. The combination of single-core code optimization,
vector processing, multithreading and efficient disk I/O operations succeeds in
providing fast tomographic reconstructions on standard computers. The approach
turns out to be competitive with the fastest GPU-based solutions thus far.
No comments:
Post a Comment