Acceleration of optical coherence tomography signal processing by multi-graphics processing units

Hardware Acceleration for CGP: Graphics Processing Units

Graphic Processing Units (GPUs) are fast, highly parallel units. In addition to processing 3D graphics, modern GPUs can be programmed for more general-purpose computation. A GPU consists of a large number of ‘shader processors’, and conceptually operates as a single instruction multiple data (SIMD) or multiple instruction multiple data (MIMD) stream processor. A modern GPU can have several hund...

Ophthalmic Imaging Applications with Optical Coherence Tomography and Graphics Processing Units

Four-dimensional structural and Doppler optical coherence tomography imaging on graphics processing units.

The authors present the application of graphics processing unit (GPU) programming for real-time three-dimensional (3-D) Fourier domain optical coherence tomography (FdOCT) imaging with implementation of flow visualization algorithms. One of the limitations of FdOCT is data processing time, which is generally longer than data acquisition time. Utilizing additional algorithms, such as Doppler ana...

Signal Processing and Data Acquisition in Optical Coherence Tomography

Acceleration of Grammatical Evolution Using Graphics Processing Units

Several papers show that symbolic regression is suitable for data analysis and prediction in financial markets. Grammatical Evolution (GE), a grammar-based form of Genetic Programming (GP), has been successfully applied in solving various tasks including symbolic regression. However, often the computational effort to calculate the fitness of a solution in GP can limit the area of possible appli...