CUDA Formatter

Format and beautify CUDA C++ code with proper indentation and GPU programming conventions. Supports kernel functions, device code, and CUDA-specific syntax.

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What is CUDA Formatter?
CUDA Formatter is a specialized tool designed to format and beautify CUDA C/C++ code according to best practices and industry standards. CUDA (Compute Unified Device Architecture) is essential for GPU programming, parallel computing, and high-performance computing applications, requiring consistent formatting for maintainable and efficient GPU code development.
Our CUDA formatter ensures your GPU code follows established NVIDIA guidelines and maintains consistency across your development team and high-performance computing projects, embracing principles of parallel efficiency, memory optimization, and modern GPU architecture utilization.
Key Benefits:
  • NVIDIA Standards: Apply official CUDA programming guidelines and GPU development formatting conventions automatically
  • Performance Excellence: Structure kernel code for optimal GPU utilization, memory access patterns, and parallel execution
  • Modern CUDA Support: Organize CUDA 12+, Thrust, cuBLAS, and modern GPU architecture features clearly
  • HPC Integration: Format code for seamless integration with machine learning frameworks, scientific computing, and data processing
  • Enterprise Compatibility: Optimize formatting for NVIDIA enterprise tools, profiling, and production GPU deployments
Perfect for GPU developers, machine learning engineers, scientific computing researchers, and high-performance computing specialists working with parallel algorithms, deep learning, and computational acceleration.
CUDA Formatting Options
Configure CUDA formatting to match GPU programming standards and team preferences. Our formatter supports comprehensive options for modern CUDA features, kernel patterns, and high-performance computing workflows.
Indentation Settings
  • Kernel and device function indentation (4 spaces standard)
  • Thread block and grid structure alignment
  • Memory allocation and transfer formatting
  • Template and generic programming structure
Code Structure Options
  • Host and device code organization
  • Kernel launch configuration formatting
  • Error handling and debugging structure
  • Header and include file management
CUDA-Specific Features
  • Memory hierarchy and access pattern formatting
  • Synchronization and atomic operation structure
  • Texture and surface memory organization
  • Cooperative groups and warp-level primitives
Advanced Formatting
  • Multi-GPU and stream management
  • Performance optimization patterns
  • Library integration (cuBLAS, cuDNN, Thrust)
  • Profiling and debugging integration
How to Use CUDA Formatter:
  1. Upload your CUDA file or paste GPU code content directly into the editor
  2. Select your preferred formatting options (CUDA standards, indentation, GPU programming settings)
  3. Click "Format" to apply CUDA best practices and improve code readability
  4. Use fullscreen mode for large kernels, complex GPU algorithms, and high-performance computing projects
  5. Copy the formatted output for compilation or integrate with CUDA development tools
Integration Support: Works seamlessly with CUDA development tools including NVIDIA Nsight, VS Code with CUDA extensions, and popular GPU computing frameworks. Compatible with modern CUDA toolkits and machine learning platforms for high-performance parallel computing workflows.