Revision as of 15:10, 14 September 2011

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

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

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

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

ITK is intended to work in the most popular platforms.

More specifically

With commonly used compilers

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

@@ Line 38: / Line 38: @@
 * 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 ==