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              <text>A Comparative Performance Analysis of Convolution W/O OpenCL on a Standalone System</text>
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              <text>Convolution; float4; GPGPU; Mesh Segmentation; Vertex Buffer Objects</text>
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              <text>Initial approach of this paper is to provide a deep understanding of OpenCL architecture. Secondly, it proposes an implementation of a matrix and image convolution implemented in C (Serial Programming) and OpenCL (Parallel Programming), to describe detailed OpenCL programming flow and to provide a comparative performance analysis. The implementation is being carried on AMD A10 APU and various algebraic scenarios are created, to observe the performance improvement achieved on a single system when using Parallel Programming. In the related works authors have worked on AMDAPPSDK samples such as N-body &amp;amp; SimpleGL to understand the concept of vector data types in OpenCL and OpenCL-GL interoperability, have also implemented 3-D particle bouncing concept in OpenCL &amp;amp; 3D-Mesh rendering using OpenCL. Lastly, authors have also illuminated about their future work, where they intend to implement a novel algorithm for mesh segmentation using OpenCL, for which they have tried to form a strong knowledge base through this work.  2015 IEEE.</text>
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              <text>Keswani B.; Venugopalan J.</text>
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              <text>Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015, pp. 378-383.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICACCE.2015.108" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICACCE.2015.108&lt;/a&gt;
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              <text>ISBN: 978-147991734-1</text>
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              <text>Keswani B., Computer Science Engineering Department, Christ University, Bangalore, India; Venugopalan J., Christ University, Bangalore, India</text>
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