NVIDIA CUDA Profiling Tools Interface (CUPTI) - CUDA Toolkit
The NVIDIA? CUDA Profiling Tools Interface (CUPTI) is a dynamic library that enables the creation of profiling and tracing tools that target CUDA applications. CUPTI provides a set of APIs targeted at ISVs creating profilers and other performance optimization tools:
- the Activity API,
- the Callback API,
- the Event API,
- the Metric API,
- the Profiler API,
- the PC Sampling API, and
- the Checkpoint API
Using these CUPTI APIs, independent software developers can create profiling tools that provide low and deterministic profiling overhead on the target system, while giving insight into the CPU and GPU behavior of CUDA applications. Normally packaged with the CUDA Toolkit, NVIDIA occasionally uses this page to provide CUPTI improvements and bug fixes between toolkit releases.
- Trace CUDA API by registering callbacks for API calls of interest
- Full support for entry and exit points in the CUDA C Runtime (CUDART) and CUDA Driver
- GPU workload trace for the activities happening on the GPU, which includes kernel executions, memory operations (e.g., Host-to-Device memory copies) and memset operations.
- CUDA Unified Memory trace for transfers from host to device, device to host, device to device and page faults on CPU and GPU etc.
- Normalized timestamps for CPU and GPU trace
- Profile hardware and software event counters, including:
- Utilization metrics for various hardware units
- Instruction count and throughput
- Memory load/store events and throughput
- Cache hits/misses
- Branches and divergent branches
- Many more
- Enables automated bottleneck identification based on metrics such as instruction throughput, memory throughput, and more
- Range profiling to enable metric collection over concurrent kernel launches within a range
- Metrics attribution at the high-level source code and the executed assembly instructions.
- Device-wide sampling of the program counter (PC). The PC Sampling gives the number of samples for each source and assembly line with various stall reasons.
Updates in CUDA Toolkit 12.2
- A new set of CUPTI APIs for collection of SASS metric data at the source level are provided in the header file cupti_sass_metrics.h. These support a larger set of metrics compared to the CUPTI Activity APIs for source-level analysis. SASS to source correlation can be done in the offline mode, similar to the PC sampling APIs. Hence the runtime overhead during data collection is lower. Refer to the section CUPTI SASS Metrics API for more details. Please note that this is a Beta feature, interface and functionality are subject to change in a future release.
- CUPTI now reports fatal errors, non-fatal errors and warnings instantaneously through callbacks. A new callback domain
CUPTI_CB_DOMAIN_STATEis added for subscribing to the instantaneous error reporting. Corresponding callback ids are provided in the struct
- Added support for profiling of device graphs and host graphs that launch device graphs. There are some known limitations, please refer to the Known Issues section for details.
- Change in the stream attribute value is communicated by issuing the resource callback. Refer to the struct
CUpti_StreamAttrDataand callback id
CUPTI_CBID_RESOURCE_STREAM_ATTRIBUTE_CHANGEDadded in the enum
- New API
cuptiGetErrorMessageprovides descriptive message for CUPTI error codes.
- Removed the deprecated API
cuptiDeviceGetTimestampfrom the header cupti_events.h.
- Linux x86_64
- Windows x86_64
- Linux PowerPC
- Linux aarch64 SBSA
- DRIVE OS QNX aarch64
- DRIVE OS Linux aarch64
 available in the Embedded or Drive toolkits only
Supported NVIDIA GPU architectures
- Activity and Callback APIs
- All architectures supported by CUDA Toolkit
- Event and Metric APIs
- Profiling and PC Sampling APIs
- Hopper: GH100
- Ada: AD10x
- Ampere: A100 with Multi-Instance GPU, GA10x
- Volta: GV100, GV10B
- CUPTI can be found in the CUDA Toolkit 12.2 production release
- Please use the following drivers
- 536.23 (Windows)
- 535.54.03 (Linux)
To provide feedback, request additional features, or report issues, please use the Developer Forums.
When installing CUDA Toolkit 12.2 and specifying options, be sure to select CUDA > Development > Tools > CUPTI.