In this paper the application of massively parallel processing of Spectral Optical Coherence Tomography (SOCT) data with the aid of a low-cost Graphic Processing Unit (GPU) is presented. The reported system may be used for real-time imaging of high resolution 2D tomograms or for presenting volume data. The overall imaging speed is over 100 frames/second for 2D tomograms built of 1024 A-scans and 9 frames/second for 3D volume images containing 100 slices of 100 A-scans. This includes t he acquisition of 2048 pixels from a CCD camera per A-scan, data transfer to the processor, all necessary processing and rendering on the screen. As a contribution, the description of a data flow and parallel processing organization in a GPU is given. Full Text: PDF References: M. Wojtkowski et al., Am. J. Ophthalmol. 138, 412 (2004). [CrossRef] M. Wojtkowski et al., Ophthalmology 112, 1734 (2005). [CrossRef] D. Stifter, Applied Physics B Lasers and Optics 88, 337 (2007). [CrossRef] J.E. Stone et al., Journal of Computational Chemistry 28, 2618 (2007). [CrossRef] I.S. Ufimtsev, T.J. Martinez, J. Chem. Theory Comput. 4, 222 (2008). [CrossRef] E. Gutierrez et al., Computational Science 5101, 700 (2008). J. Probst, P. Koch, G. Huttmann, Proc. SPIE 7372, 7372_0Q, (2009). [CrossRef] S. Van der Jeught et al., JBO Letters 15, 30511 (2010). [CrossRef] K. Zhang, J.U. Kang, Opt. Exp. 18, 11772 (2010) [CrossRef] M. Sylwestrzak et al., Proc. SPIE 7391, 73910A (2009) [CrossRef]