NVIDIA GPU Computing

NVIDIA CUDA is the world leader in high-performance parallel computing on GPUs. Even before the creation of CUDA, NVIDIA was a pioneer in the creation of innovative algorithms and applications to bring GPU Computing to the world. The following links cover a broad range of GPU Computing resources and documentation from NVIDIA.

• Visit CUDA Zone for the latest in up-to-date research
• CUDA Documentation
• NVIDIA PhysX is now CUDA-enabled for transformative performance
• NVIDIA's Mark Harris delivered the keynote presentation at ICS 2008, "Manycore Parallel Computing Using CUDA"
• CUDA at NVISION08:
  • Keynote: High Performance Computing
  • Interactive Ray Tracing in CUDA
  • CUDA Stream Processing and Gamebryo Floodgate
  • Video and Image Processing in CUDA
  • Next-Gen PhysX Deep Dive
  • Advanced CUDA Optimization
  • OpenGL and CUDA
  • NVSG
• GPU Gems 2 was the world's first book to cover GPU Computing (pre-CUDA) in depth:
  • Part IV: General-Purpose Computation on GPUS: A Primer
    • Chapter 29. Streaming Architectures and Technology Trends
    • Chapter 30. The GeForce 6 Series GPU Architecture
    • Chapter 31. Mapping Computational Concepts to GPUs
    • Chapter 32. Taking the Plunge into GPU Computing
    • Chapter 33. Implementing Efficient Parallel Data Structures on GPUs
    • Chapter 34. GPU Flow-Control Idioms
    • Chapter 35. GPU Program Optimization
    • Chapter 36. Stream Reduction Operations for GPGPU Applications
  • Part VI: Simulation and Numerical Algorithms
    • Chapter 43. GPU Computing for Protein Structure Prediction
    • Chapter 44. A GPU Framework for Solving Systems of Linear Equations
    • Chapter 45. Options Pricing on the GPU
    • Chapter 46. Improved GPU Sorting
    • Chapter 47. Flow Simulation with Complex Boundaries
    • Chapter 48. Medical Image Reconstruction with the FFT
• Accelerating MATLAB with CUDA using MEX Files (PDF)
• Fast N-body Simulation with CUDA (PDF) (from GPU Gems 3)
• Microprocessor Report: Parallel Processing with CUDA (PDF)
• NVIDIA Documentation Home Page