Parallel Computing On Qualcomm Platforms Using OpenCL - Uplinq
Parallel Computing On Qualcomm Platforms Using OpenCL - Uplinq
Parallel Computing On Qualcomm Platforms Using OpenCL - Uplinq
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Low Light Image Enhancement Effort<br />
<strong>OpenCL</strong><br />
% Speed-up over C2D<br />
100<br />
90<br />
80<br />
70<br />
60<br />
50<br />
40<br />
30<br />
20<br />
10<br />
0<br />
Speed-up vs Effort<br />
1 2 3 4 5 6<br />
Effort (Man-weeks)<br />
•Wavelet-based image de-noising<br />
algorithm<br />
•Speed-up shown of GTX260<br />
GPU vs. Core2Duo CPU<br />
•Optimizations include global<br />
memory coalescing, tileprocessing,<br />
loop unrolling and<br />
NDRange optimizations.<br />
Core2Duo is a registered trademark of Intel Inc.<br />
5<br />
<strong>Qualcomm</strong> Proprietary
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