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This is the command cuda-gdbserver that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator

PROGRAM:

NAME


cuda-gdb - The NVIDIA CUDA Debugger

cuda-gdbserver - The NVIDIA CUDA-GDB server for remote debugging

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.

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