ITK/Release 4/Refactor Numerical Libraries/Inventory

In this page we collect an inventory of numerical libraries in ITK base on the state of the code at the ITKv4-Alpha09 Git tag.

ITK Numerical Needs

ITK needs for numerical libraries fall in the following broad categories

• Fourier Transforms
• Non-Linear Optimization
• Linear Solvers
  • Dense Matrices (typically small, less than 100x100)
  • Sparse Matrices
  • Large Sparse Matrices (e.g. FEM type problems)
• Matrix Vector Operations
  • A lot of them are
    • Matrix . Matrix operations (for matrix size 2x2, 3x3, 4x4, 3x4)
    • Matrix . Vector operations (for matrix size 2x2, 3x3, 4x4, 3x4)
• Special Functions
  • Modified Bessel Function of the first kind
    • Important for computing the discrete Gaussian kernel
• Accumulation of Rounding Errors

Architecture

• ITK is focused on shared memory systems
  • Multi-Core machines
  • Exploits Multi-threaded implementations

Profiling Targets

The following problems have been selected as interesting targets for profiling performance.

3D Registration

• ITK/Examples/Registration/ImageRegistration8.cxx
  • Led to identify a bottleneck on the allocation and deallocation of Jacobian Matrices
    • Work In Progress patch here: http://review.source.kitware.com/#change,2774

Demons Registration

• ITK/Examples/Registration/DeformableRegistration10.cxx

BSpline Registration

• ITK/Examples/Registration/DeformableRegistration15.cxx

Level Sets

• ITK/Examples/Registration/GeodesicActiveContourImageFilter.cxx

ImageRegionIterator

The profiling exercise of the DeformableRegistration15 revealed that the ImageRegionIterator is performing about 20% slower than the ImageRegionIteratorWithIndex, which shouldn't be the case, given that the ImageRegionIterator was designed to be faster and take advantage of the fact that it doesn't maintain an internal cached Index value that need continuous updating.

This call for a code revision of the Increment() method in the ImageRegionIterator.

Portability

ITK is intended to work in the most popular platforms.

More specifically

• Windows
• Linux
• Macs

With commonly used compilers

• Visual Studio 7.1 to 10
• GCC 3.4 to 4.6
• Intel Compiler
• Sun CC compiler

A more detailed list of supported compiles can be found here:

• Modern C++

Libraries Used

• Work in progress...