This list focuses on using CUDA for graphics and animation, progressing from fundamental concepts to advanced techniques.
I. CUDA Fundamentals (1-10)
- Introduction to CUDA: Unleashing GPU Power
- Setting Up Your CUDA Development Environment
- Understanding GPU Architecture and Parallel Processing
- Writing Your First CUDA Kernel: Hello, Parallel World!
- Memory Management in CUDA: Host vs. Device
- Data Transfer between Host and Device
- Launching Kernels and Managing Grids and Blocks
- Understanding CUDA Threads and Thread IDs
- Basic CUDA Debugging Techniques
- Profiling CUDA Code for Performance Optimization
II. CUDA Programming Basics (11-25)
- Working with Different Data Types in CUDA
- Control Flow in CUDA Kernels: Conditional Statements and Loops
- Shared Memory: Efficient On-Chip Communication
- Synchronization Primitives: Barriers and Atomic Operations
- Reduction Operations on the GPU
- Prefix Sum and Scan Algorithms
- Working with Textures and Constant Memory
- Introduction to CUDA Streams for Asynchronous Operations
- Managing Multiple CUDA Devices
- Error Handling in CUDA
- Building and Linking CUDA Code
- Introduction to CUDA Libraries (cuBLAS, cuFFT, etc.)
- Using cuBLAS for Linear Algebra Operations
- Using cuFFT for Fast Fourier Transforms
- Simple Image Processing with CUDA: Pixel Manipulation
III. Graphics with CUDA (26-40)
- Introduction to GPU Graphics Pipelines
- CUDA Interoperability with OpenGL
- Rendering with CUDA Kernels: Direct State Access
- Vertex and Fragment Shader Programming with CUDA
- Implementing Basic Shading Algorithms on the GPU
- Texture Mapping and Filtering with CUDA
- Introduction to Ray Tracing on the GPU
- Implementing Ray-Triangle Intersection Tests
- Building a Simple Ray Tracer with CUDA
- Introduction to Global Illumination Techniques
- Implementing Ambient Occlusion on the GPU
- Shadow Mapping with CUDA
- Depth of Field Rendering with CUDA
- Introduction to Volume Rendering
- Volume Rendering with CUDA: Ray Casting
IV. Animation with CUDA (41-55)
- Introduction to GPU-Based Animation
- Animating with CUDA Kernels: Updating Object Properties
- Particle Systems on the GPU
- Implementing Particle Physics with CUDA
- Cloth Simulation with CUDA
- Fluid Simulation with CUDA (if applicable)
- Rigid Body Dynamics on the GPU
- Skeletal Animation with CUDA (if applicable)
- Keyframe Animation with CUDA
- Procedural Animation with CUDA
- Real-Time Character Animation with CUDA (if applicable)
- Animating with CUDA and OpenGL Interoperability
- Introduction to GPU-Based Physics Engines
- Integrating CUDA with Physics Engines
- Optimizing Animation Performance on the GPU
V. Advanced CUDA Techniques (56-70)
- Advanced Memory Management: Pinned Memory and Zero-Copy
- Optimizing Kernel Performance: Loop Unrolling and Vectorization
- Understanding CUDA Occupancy and Resource Utilization
- Asynchronous Kernel Execution and Overlapping Computation
- Advanced CUDA Debugging and Profiling
- Working with CUDA Streams and Events
- Introduction to CUDA Graphs
- Using CUDA for Machine Learning (if applicable)
- Integrating CUDA with Deep Learning Frameworks (if applicable)
- CUDA for Scientific Computing and Visualization
- Introduction to Multi-GPU Programming with CUDA
- Data Parallelism and Task Parallelism in CUDA
- Load Balancing and Work Distribution on Multiple GPUs
- Communicating between GPUs with CUDA-Aware MPI (if applicable)
- Advanced CUDA Optimization Techniques
VI. Graphics & Animation with CUDA: Advanced Topics (71-85)
- Advanced Ray Tracing Techniques: Acceleration Structures (BVH, KD-Tree)
- Implementing Path Tracing on the GPU
- Monte Carlo Rendering with CUDA
- Implementing Physically Based Rendering (PBR) on the GPU
- Advanced Shading Techniques: BRDFs and BSDFs
- GPU-Based Image Processing and Filtering
- Real-Time Rendering of Complex Scenes with CUDA
- Implementing Deferred Shading on the GPU
- GPU-Based Terrain Rendering
- Level of Detail (LOD) Management on the GPU
- GPU-Based Crowd Simulation
- Real-Time Physics Simulation with CUDA
- Implementing Fluid Dynamics with CUDA (Advanced)
- Advanced Particle System Techniques
- GPU-Based Post-Processing Effects
VII. CUDA Development Best Practices (86-100)
- CUDA Development Workflow and Best Practices
- Designing Efficient CUDA Kernels
- Memory Management Strategies for CUDA
- Testing and Debugging CUDA Applications
- Performance Optimization Techniques for CUDA
- CUDA Code Portability and Cross-Platform Development
- Integrating CUDA with Other Programming Languages
- CUDA Application Architecture and Design Patterns
- Using CUDA with Libraries and Frameworks
- Publishing CUDA Applications
- The Future of CUDA and GPU Computing
- Exploring Emerging GPU Technologies
- Building a Portfolio of CUDA Projects
- Contributing to the CUDA Community
- CUDA for Emerging Applications (VR/AR, AI, etc.)