Acceleration opportunities for Vision applications Sample Clauses

Acceleration opportunities for Vision applications. While in literature there are several approaches to parallelizing applications for data clustering or cryptography, discussed in the previous section, for computer vision kernels there is less previous work available, which calls for a more detailed analysis. The source code for the computational kernels described in Section 1.2 is available from the open-source OpenCV (Open Source Computer Vision) library [Stu11]. OpenCV is a CV-oriented, cross-platform programming library, widely used by both academic and industrial partners. A pre-parallelized version of these kernels, which we use for approach 2 from the list above, comes from the MEVBench suite from University of Michigan [Cle11]. The presentation of our study is divided into three independent sections, each one related to a different approach. To conduct our preliminary studies and to validate the above-mentioned methodologies prior to the definition and the availability of the vIrtical platform, we use the following approaches:
Sample 1
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