Tutorial CUDA

Conclusion
CUDA is a powerful parallel programming model
© NVIDIA Corporation 2008
Heterogeneous - mixed serial-parallel programming
Scalable - hierarchical thread execution model
Accessible - minimal but expressive changes to C
CUDA on GPUs can achieve great results on dataparallel
computations with a few simple
performance optimization strategies:
Structure your application and select execution configurations
to maximize exploitation of the GPU’s parallel capabilities
Minimize CPU ↔ GPU data transfers
Coalesce global memory accesses
Take advantage of shared memory
Minimize divergent warps
Minimize use of low-throughput instructions
Avoid shared memory accesses with high degree of bank
conflicts