Array Transformations and Data Processing
Guide for transforming and processing arrays with GPU acceleration.
🚧 Documentation In Progress - Array transformation examples are being developed.
Overview
Common array operations:
- Element-wise operations
- Reduction operations
- Sorting and searching
- Transposition and reshaping
- Large dataset processing
Element-Wise Operations
Basic Element-Wise Operations
TODO: Provide element-wise operation examples:
- Addition, multiplication, division
- Trigonometric functions
- Logical operations
Broadcasting
TODO: Explain broadcasting semantics
Reduction Operations
Sum and Product
TODO: Document reduction operations:
- Sum reduction
- Product reduction
- Min/max reduction
Custom Reductions
TODO: Cover custom reduction implementations
Sorting and Searching
GPU Sorting
TODO: Explain GPU sorting algorithms:
- Quicksort
- Merge sort
- Thrust algorithms
Searching
TODO: Document searching operations
Transposition and Reshaping
Matrix Transposition
TODO: Provide transposition examples
Reshaping Operations
TODO: Document reshape operations
Large Datasets
Out-of-Core Processing
TODO: Explain processing datasets larger than GPU memory:
- Tiling strategies
- Pipeline processing
- Memory management
Streaming Operations
TODO: Document streaming data processing
Advanced Patterns
Stencil Operations
TODO: Cover stencil computation patterns
Scan Operations
TODO: Document inclusive and exclusive scans
Performance Tips
TODO: List optimization techniques for array operations
Examples
TODO: Provide complete examples