7.49. CUpti_ActivityKernel11 — Cupti

Skip to main content
`Ctrl`+`K`

# 7.49. CUpti_ActivityKernel11

struct CUpti_ActivityKernel11

  The activity record for kernel.

  This activity record represents a kernel execution (CUPTI_ACTIVITY_KIND_KERNEL and CUPTI_ACTIVITY_KIND_CONCURRENT_KERNEL)

  Public Members

  CUpti_ActivityKind kind

    The activity record kind, must be CUPTI_ACTIVITY_KIND_KERNEL or CUPTI_ACTIVITY_KIND_CONCURRENT_KERNEL.

  uint8_t requested

    The cache configuration requested by the kernel.

    The value is one of the CUfunc_cache enumeration values from cuda.h.

  uint8_t executed

    The cache configuration used for the kernel.

    The value is one of the CUfunc_cache enumeration values from cuda.h.

  union CUpti_ActivityKernel11::[anonymous] cacheConfig

    For devices with compute capability 7.5+ cacheConfig values are not updated in case field isSharedMemoryCarveoutRequested is set.

  uint8_t sharedMemoryConfig

    The shared memory configuration used for the kernel.

    The value is one of the CUsharedconfig enumeration values from cuda.h.

  uint16_t registersPerThread

    The number of registers required for each thread executing the kernel.

  CUpti_ActivityPartitionedGlobalCacheConfig partitionedGlobalCacheRequested

    The partitioned global caching requested for the kernel.

    Partitioned global caching is required to enable caching on certain chips, such as devices with compute capability 5.2.

  CUpti_ActivityPartitionedGlobalCacheConfig partitionedGlobalCacheExecuted

    The partitioned global caching executed for the kernel.

    Partitioned global caching is required to enable caching on certain chips, such as devices with compute capability 5.2. Partitioned global caching can be automatically disabled if the occupancy requirement of the launch cannot support caching.

  uint64_t start

    The start timestamp for the kernel execution, in ns.

    A value of 0 for both the start and end timestamps indicates that timestamp information could not be collected for the kernel.

  uint64_t end

    The end timestamp for the kernel execution, in ns.

    A value of 0 for both the start and end timestamps indicates that timestamp information could not be collected for the kernel.

  uint64_t completed

    The completed timestamp for the kernel execution, in ns.

    It represents the completion of all it’s child kernels and the kernel itself. A value of CUPTI_TIMESTAMP_UNKNOWN indicates that the completion time is unknown.

  uint32_t deviceId

    The ID of the device where the kernel is executing.

  uint32_t contextId

    The ID of the context where the kernel is executing.

  uint32_t streamId

    The ID of the stream where the kernel is executing.

  int32_t gridX

    The X-dimension grid size for the kernel.

  int32_t gridY

    The Y-dimension grid size for the kernel.

  int32_t gridZ

    The Z-dimension grid size for the kernel.

  int32_t blockX

    The X-dimension block size for the kernel.

  int32_t blockY

    The Y-dimension block size for the kernel.

  int32_t blockZ

    The Z-dimension grid size for the kernel.

  int32_t staticSharedMemory

    The static shared memory allocated for the kernel, in bytes.

  int32_t dynamicSharedMemory

    The dynamic shared memory reserved for the kernel, in bytes.

  uint32_t localMemoryPerThread

    The amount of local memory reserved for each thread, in bytes.

  uint32_t localMemoryTotal

    The total amount of local memory reserved for the kernel, in bytes (deprecated in CUDA 11.8).

    Refer field localMemoryTotal_v2

  uint32_t correlationId

    The correlation ID of the kernel.

    Each kernel execution is assigned a unique correlation ID that is identical to the correlation ID in the driver or runtime API activity record that launched the kernel.

  int64_t gridId

    The grid ID of the kernel.

    Each kernel is assigned a unique grid ID at runtime.

  const char *name

    The name of the kernel.

    This name is shared across all activity records representing the same kernel, and so should not be modified.

  void *reserved0

    Undefined.

    Reserved for internal use.

  uint64_t queued

    The timestamp when the kernel is queued up in the command buffer, in ns.

    A value of CUPTI_TIMESTAMP_UNKNOWN indicates that the queued time could not be collected for the kernel. This timestamp is not collected by default. Use API cuptiActivityEnableLatencyTimestamps() to enable collection.

    Command buffer is a buffer written by CUDA driver to send commands like kernel launch, memory copy etc to the GPU. All launches of CUDA kernels are asynchronous with respect to the host, the host requests the launch by writing commands into the command buffer, then returns without checking the GPU’s progress.

  uint64_t submitted

    The timestamp when the command buffer containing the kernel launch is submitted to the GPU, in ns.

    A value of CUPTI_TIMESTAMP_UNKNOWN indicates that the submitted time could not be collected for the kernel. This timestamp is not collected by default. Use API cuptiActivityEnableLatencyTimestamps() to enable collection.

  uint8_t launchType

    The indicates if the kernel was executed via a regular launch or via a single/multi device cooperative launch.

    See also

    CUpti_ActivityLaunchType

  uint8_t isSharedMemoryCarveoutRequested

    This indicates if CU_FUNC_ATTRIBUTE_PREFERRED_SHARED_MEMORY_CARVEOUT was updated for the kernel launch.

  uint8_t sharedMemoryCarveoutRequested

    Shared memory carveout value requested for the function in percentage of the total resource.

    The value will be updated only if field isSharedMemoryCarveoutRequested is set.

  uint8_t padding

    Undefined.

    Reserved for internal use.

  uint32_t sharedMemoryExecuted

    Shared memory size set by the driver.

  uint64_t graphNodeId

    The unique ID of the graph node that launched this kernel through graph launch APIs.

    This field will be 0 if the kernel is not launched through graph launch APIs.

  CUpti_FuncShmemLimitConfig shmemLimitConfig

    The shared memory limit config for the kernel.

    This field shows whether user has opted for a higher per block limit of dynamic shared memory.

  uint32_t graphId

    The unique ID of the graph that launched this kernel through graph launch APIs.

    This field will be 0 if the kernel is not launched through graph launch APIs.

  CUaccessPolicyWindow *pAccessPolicyWindow

    The pointer to the access policy window.

    The structure CUaccessPolicyWindow is defined in cuda.h.

  uint32_t channelID

    The ID of the HW channel on which the kernel is launched.

  CUpti_ChannelType channelType

    The type of the channel.

  uint32_t clusterX

    The X-dimension cluster size for the kernel.

    Field is valid for devices with compute capability 9.0 and higher

  uint32_t clusterY

    The Y-dimension cluster size for the kernel.

    Field is valid for devices with compute capability 9.0 and higher

  uint32_t clusterZ

    The Z-dimension cluster size for the kernel.

    Field is valid for devices with compute capability 9.0 and higher

  uint32_t clusterSchedulingPolicy

    The cluster scheduling policy for the kernel.

    Refer CUclusterSchedulingPolicy Field is valid for devices with compute capability 9.0 and higher

  uint64_t localMemoryTotal_v2

    The total amount of local memory reserved for the kernel, in bytes.

  uint32_t maxPotentialClusterSize

    The maximum cluster size for the kernel.

  uint32_t maxActiveClusters

    The maximum clusters that could co-exist on the target device for the kernel.

  uint8_t isDeviceLaunched

    This field is set to 1 if the kernel is part of a device launched graph.

  int32_t priority

    The launch priority of the kernel.