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CUDA GDB
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NVIDIA/cuda-gdb
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README for CUDA-GDB release This is CUDA-GDB, the NVIDIA CUDA source-level debugger for Linux and Mac OS, based on GDB-14.2, the GNU source-level debugger. For more information about gdb, please refer to README file in this folder or check the GDB home page at http://www.gnu.org/software/gdb CUDA-GDB BUILD INSTRUCTIONS (example only, adjust as needed) =========================== First, make sure that libtermcap and other required dependent packages are installed (try sudo yum install ncurses-devel). The configure command will issue an error if some packages are missing. Please note that the libexpat development headers must be present if CUDA-GDB is to be used for cross-platform debugging. Issue the following commands to build CUDA-GDB: ./configure --program-prefix=cuda- \ --enable-cuda \ --enable-targets="x86_64-unknown-linux-gnu,\ arm-elf-linux-gnu,m68k-unknown-linux-gnu" \ CFLAGS='-I/usr/local/cuda/include' \ LDFLAGS='-lpthread' make USING CUDA-GDB ============== All standard GDB commands could be used both for CPU and GPU code debugging. In addition to that, CUDA-GDB provides CUDA-specific command families like "info cuda ..." to query GPU states, "cuda .." to control debugger focus on GPU and "[get|set] cuda .." to alter/query CUDA debugger configuration. For more information please check http://docs.nvidia.com/cuda/cuda-gdb/ REPORTING BUGS ============== Use any of the following options. 1. Send e-mail to cuda-debugger-bugs@nvidia.com. 2. Fill an issue report form at the NVIDIA registered developers portal. 3. Post a new topic at the NVIDIA CUDA-GDB forum: https://forums.developer.nvidia.com/c/developer-tools/cuda-developer-tools/cuda-gdb 4. Fill an issue report at the NVIDIA CUDA-GDB Github: https://github.com/NVIDIA/cuda-gdb/issues
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