What are some effective techniques for debugging CUDA applications?
An example of an AI chatbot conversation about CUDA debugging techniques.
What are some effective techniques for debugging CUDA applications?
Some effective techniques include using CUDA-GDB, Nsight Visual Studio Edition, and checking for error codes after kernel launches.
Can you explain how to use CUDA-GDB for debugging?
CUDA-GDB is a debugger for CUDA applications that allows you to set breakpoints, inspect variables, and step through code.
What common errors should I look for when debugging?
Common errors include out-of-bounds memory access, kernel launch failures, and incorrect memory allocation.
Are there any tools that can help visualize GPU memory usage?
Yes, tools like NVIDIA Visual Profiler and Nsight Systems can help visualize and analyze GPU memory usage.
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