Originally published at: The Modern CUDA Toolbox in Practice: A Step-by-Step Optimization Walkthrough | NVIDIA Technical Blog
NVIDIA CUDA remains the foundation of GPU-accelerated computing, powering everything from scientific simulations to large-scale AI training. But writing correct, maintainable, and performant CUDA code can be challenging: memory bugs hide in plain sight, performance bottlenecks can be invisible without the right instrumentation, and hand-rolled GPU algorithms rarely match the efficiency of optimized libraries. Fortunately,…