[ITK-users] New Submission: A Tutorial on Combining Nonlinear Optimization with CUDA

[Insight Journal]

Hello,

A new submission has been added to the Insight Journal.

Title: A Tutorial on Combining Nonlinear Optimization with CUDA
Authors: Hatt C.
Abstract: Nonlinear optimization is a key component of many image registration algorithms. Improving registration speed is almost always desirable. One way to do this is to accelerate the optimization cost function using a parallel implementation. The purpose of this document is to provide a tutorial on how to combine the CUDA GPU computing framework with standard nonlinear optimization libraries (VNL) using CMake. The provided code can be used as a starting template for programmers looking for a relatively painless introduction to CUDA-accelerated medical image registration and other nonlinear optimization problems.

Download and review this publication at: http://hdl.handle.net/10380/3515

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