SYNOPSIS
cuda-gdb [gdb-options] [--cuda-use-lockfile VALUE] [prog [core|procID]]
cuda-gdb [gdb-options] [--cuda-use-lockfile VALUE] --args prog [arguments]
DESCRIPTION
cuda-gdb is the NVIDIA CUDA debugger for Unix platforms. It is gdb with extra commands specific to CUDA debugging.
All the existing gdb commands are supported. On top of those commands, the following CUDA-specific commands are also supported.
Info Commands
Commands to query information about CUDA activities:
- info cuda devices
- information about all the devices
- info cuda sms
- information about all the SMs in the current device
- info cuda warps
- information about all the warps in the current SM
- info cuda lanes
- information about all the lanes in the current warp
- info cuda kernels
- information about all the active kernels
- info cuda contexts
- information about all the contexts
- info cuda blocks
- information about all the active blocks in the current kernel
- info cuda threads
- information about all the active threads in the current kernel
- info cuda launch trace
- information about the parent kernels of the kernel in focus
- info cuda launch children
- information about the kernels launched by the kernels in focus
Focus Commands
Commands to query or switch the focus of the debugger:
- cuda block
- Print or select the current CUDA block
- cuda device
- Print or select the current CUDA device
- cuda grid
- Print or select the current CUDA grid
- cuda kernel
- Print or select the current CUDA kernel
- cuda lane
- Print or select the current CUDA lane
- cuda sm
- Print or select the current CUDA SM
- cuda thread
- Print or select the current CUDA thread
- cuda warp
- Print or select the current CUDA warp
Configuration Commands
Commands to configure the CUDA-specific commands:
- set cuda api_failures
- Set the api_failures to ignore/stop/hide on CUDA driver API call errors
- set cuda break_on_launch
- Automatically set a breakpoint at the entrance of kernels
- set cuda coalescing
- Turn on/off coalescing of the CUDA commands output
- set cuda context_events
- Turn on/off context events (push/pop/create/destroy) output messages
- set cuda defer_kernel_launch_notifications
- Turn on/off deferral of kernel launch messages
- set cuda disassemble_from
- Choose whether to disassemble from the device memory (slow) or the ELF image (fast)
- set cuda gpu_busy_check
- Turn on/off GPU busy check the next time the inferior application is run
- set cuda hide_internal_frame
- Set hiding of the internal CUDA frames when printing the call stack
- set cuda kernel_events
- Turn on/off kernel events (launch/termination) output messages
- set cuda launch_blocking
- Turn on/off CUDA kernel launch blocking (effective starting from the next run)
- set cuda memcheck
- Turn on/off CUDA Memory Checker next time the inferior application is run
- set cuda notify
- Thread to notify about CUDA events when no other known candidate
- set cuda software_preemption
- Turn on/off CUDA software preemption debugging the next time the inferior application is run
- set cuda thread_selection
-
Set the automatic thread selection policy to use when the current
thread cannot be selected
OPTIONS
CUDA-GDB supports the same options as GDB, with the addition of the following options:
- --cuda-use-lockfile=VALUE
-
If VALUE is 0, CUDA-GDB will not create a lock file and will not
enforce the exclusive usage of GPUs.
ENVIRONMENT
- TMPDIR
-
If non-null, the full pathname for an alternate temporary
directory. Note that the debugger must have write and exec
permission to that directory.
FILES
- ~/.cuda-gdbinit
- Per user configuration file. The file format is identical to ~/.gdbinit. See gdb(5) for further details.
- /tmp/cuda-dbg/
-
Temporary directory where the debugger stores intermediate files.
The directory must have write and and exec permissions. Use
$TMPDIR to override the location.
NOTES
For more information about cuda-gdb, please see the online documentation at http://docs.nvidia.com/cuda/cuda-gdb/index.html.
For more information about CUDA-related features, type help cuda or help info cuda from within CUDA-GDB, or consult the CUDA-GDB online manual.
COPYRIGHT
©2013 NVIDIA Corporation. All rights reserved.