Fast watermarking for digital content protecting using GPUs
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Digital watermarking is a technique to embed copyright information into digital content like images, video, and audio. It works by modifying the frequency domain coefficients after applying a transform like discrete cosine transform (DCT). GPUs can accelerate watermarking using a parallel programming model where the watermark embedding process is implemented as a kernel. The performance was optimized by techniques like tiled algorithms and memory coalescing to better utilize the GPU memory bandwidth. Implementation results showed a speedup compared to CPU implementation on systems with different GPUs. Future work includes applying watermarking on mobile devices and multimedia streaming.
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Fast watermarking for digital content protecting using GPUs
- 1. Digital Watermarking Parallel Programming Model Optimization Implementation Fast Watermarking for Digital Content Protecting using GPUs Amirali Sharifian Isfahan University of Technology February 19, 2014 1 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 2. Digital Watermarking Parallel Programming Model Optimization Implementation 1 Digital Watermarking Introduction DCT 2 Parallel Programming Model Hardware Programming Model 3 Optimization Block Size Tiled algorithm 4 Implementation Results Future implementation 2 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 3. Digital Watermarking Parallel Programming Model Optimization Implementation Questions What is watermarking and why we use it? How we model our programs on GPUs and what is CUDA C? What is the role and importance of GPUs in watermarking? 3 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 4. Digital Watermarking Parallel Programming Model Optimization Implementation Watermark Def: A watermark is a recognizable image or pattern in paper that appears as various shades of lightness/darkness 4 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 5. Digital Watermarking Parallel Programming Model Optimization Implementation Digital Watermarking Def: The procedure of embedding copyright information in a digital content such as image, video or audio. 5 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 6. Digital Watermarking Parallel Programming Model Optimization Implementation Watermarking system methods and properties Spatial domain Frequency domain - DFT - DCT - DWT Computation complexity Robustness Capacity Application Spatial domain Low Fragile High Authentication Frequency domain High More robust Low Copyright 6 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 7. Digital Watermarking Parallel Programming Model Optimization Implementation Watermarking method Image (Cover) Partitioning Bi DCT DCT (Bi ) Embeding DCT (Bi ) IDCT Bi Reconstructing I Watermarked Image 7 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 8. Digital Watermarking Parallel Programming Model Optimization Implementation Discrete Cosine Transform Definition method Definition method C (U, V ) = α(u)α(v ) N−1 x=0 N−1 y =0 f (x, y ) cos π(2x+1)u 1N cos π(2y +1)v 2N 8 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 9. Digital Watermarking Parallel Programming Model Optimization Implementation Discrete Cosine Transform Efficient method Efficient method 2-D DCT(x) = 1-D DCT((1-D DCT(X ))t ) 9 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 10. Digital Watermarking Parallel Programming Model Optimization Implementation Embedding method λ = |Ck (L) − Ck (S)| 10 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 11. Digital Watermarking Parallel Programming Model Optimization Implementation Architecture CPU and GPU are designed very differently CPUs: Latency oriented design GPUs: Throughput oriented design Powerful ALU Small Chaches Large caches Simple control Sophisticated control Energy efficient ALUs 11 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 12. Digital Watermarking Parallel Programming Model Optimization Implementation CUDA / OpenCL - Execution model Heterogeneous host+device application C program - Serial parts in host C code - Parallel parts in device SPMD kernel C code 12 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 13. Digital Watermarking Parallel Programming Model Optimization Implementation A Multi-Dimensional Grid Example 13 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 14. Digital Watermarking Parallel Programming Model Optimization Implementation CUDA memory model 14 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 15. Digital Watermarking Parallel Programming Model Optimization Implementation ” Parallel programming is easy as long as you don’t care about performance.” 15 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 16. Digital Watermarking Parallel Programming Model Optimization Implementation Executing thread blocks Threads are assigned to Streaming Multiprocessors (SM) in block granularity Up to 8 Blocks to each SM as resource allows Fermi SM can take up to 1536 threads Could be 256 (threads/block) * 6 blocks Or 512 (threads/block) * 3 blocks, etc. Each block is executed as 32-thread Warps 16 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 17. Digital Watermarking Parallel Programming Model Optimization Implementation The Von-Neumann Model The Von-Neumann Model with SIMD units 17 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 18. Digital Watermarking Parallel Programming Model Optimization Implementation Importance of memory access efficiently Compute to Global Memory Access ( CGMA) - Memory bandwidth = 200GB/s → 50(200/4) giga single-percision → 50 GFLOPS - The peak single-precision performance: 1,500 GFLOPS !! 18 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 19. Digital Watermarking Parallel Programming Model Optimization Implementation Tiled matrix multiplication Global memory access pattern of the base matrix multiplication kernel 19 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 20. Digital Watermarking Parallel Programming Model Optimization Implementation Tiled matrix multiplication Optimized For 150GB/s global memory bandwidth ⇒ (150/4) × 16 = 600 GFLOPS !! 20 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 21. Digital Watermarking Parallel Programming Model Optimization Implementation Other Optimization Dram bandwidth Memory coalescing Tiled Convolution Data transfer and Virtual Memory Pinned memory and DMA data transfer 21 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 22. Digital Watermarking Parallel Programming Model Optimization Implementation Speedup Implementation results on a system with Core i7 - 3.40 GHZ CPU and GTX570 GPU: Speedup = GPUTime CPUTime 22 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 23. Digital Watermarking Parallel Programming Model Optimization Implementation Comparing two different systems System 1 CPU GPU System 2 Core i7 - 3.40 GHZ Core i3 - 3.10 GHZ GTX 570 GTX 460 23 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 24. Digital Watermarking Parallel Programming Model Optimization Implementation Implementing the algorithm on mobile phones Using watermarking algorithms in multimedia streaming 24 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs
- 25. Digital Watermarking Parallel Programming Model Optimization Implementation Question ? 25 / 25 Amirali Sharifian Fast Watermarking for Digital Content Protecting using GPUs