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TbB-Tool implements these algorithms and is available in http://www.di.uoa.gr/∼ivalavan/TbB_Tool.htm.htm
In this paper, we detail the massively parallel scheme that implements these algorithms and discuss how our design is tuned for the maximum possible performance.
We then present a modeling environment that implements these algorithms and includes unique features to aid the user in the evaluation task.
The DELISHUS software package that implements these algorithms is readily available for download at the Istrail Lab website.
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The MATLAB package has been utilized to implement these algorithms for the simulation of Shepp Logan head phantom and implementation of the discrete normal Radon transform based on fan-beam geometry.
Experiences from implementing these algorithms in vectorized coding in Fortran subroutines are reported.
First, implementing these algorithms is time-consuming and often suboptimal in efficiency.
We have implemented these algorithms as callback functions of an interior-point solver.
Moreover, implementing these algorithms is generally viewed as a very challenging, error-prone task.
The project aims to implement these algorithms in scalable codes that are capable of processing TB-sized datasets on petascale platforms.
For this reason the course will be focused on actually implementing these algorithms in C++ using a stripped-down open-source image processing framework (ImageStack).
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