Parallel Computing On Qualcomm Platforms Using OpenCL - Uplinq

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Interaction with the real world Augmented Reality Object and Facial Recognition Gaming Fashion Landmarks Traffic scanning Navigation Sue Face tracking 4 Qualcomm Proprietary
Low Light Image Enhancement Effort OpenCL % Speed-up over C2D 100 90 80 70 60 50 40 30 20 10 0 Speed-up vs Effort 1 2 3 4 5 6 Effort (Man-weeks) •Wavelet-based image de-noising algorithm •Speed-up shown of GTX260 GPU vs. Core2Duo CPU •Optimizations include global memory coalescing, tileprocessing, loop unrolling and NDRange optimizations. Core2Duo is a registered trademark of Intel Inc. 5 Qualcomm Proprietary
Page 1 and 2: Parallel Computing on Qualcomm ® P
Page 3: OpenCL - The Missing Piece • ”O
Page 7 and 8: 7 Qualcomm Proprietary
Page 9 and 10: General Purpose vs. Custom Devices
Page 11 and 12: Qualcomm OpenCL Plans • Qualcomm
Page 13 and 14: Qualcomm’s OpenCL Platform 1-4 ve
Page 15 and 16: View of Next Generation OpenCL * *
Page 17 and 18: CPUs Multiple cores driving perform
Page 19 and 20: However OpenCL Provides for Consist
Page 21 and 22: OpenCL Memory Model • Memory Type
Page 23 and 24: OpenCL data set decomposition into
Page 25 and 26: Questions End 25 Qualcomm Proprieta
Page 27: Trademarks Qualcomm is a registered

Parallel Computing On Qualcomm Platforms Using OpenCL - Uplinq

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