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# Release Notes

### Updates in 2026.2

- Added memcheck support for TMA load operations.

- Added memcheck support for fabric operations.

- Silenced some CUDA API error reports that are not user actionable.

- Fixed an issue where the sanitizer may crash during program termination on L4T.

- Fixed a memcheck false positive with `cp.async.bulk` when using `cp_mask`.

- Fixed an issue where the program may hang during its termination on Windows.

- Fixed an issue where tensor memory guardrail error reporting may lead to the program crashing.

### Updates in 2026.1.1

- Silenced non-actionable extended CUDA API error reports.

### Updates in 2026.1

- Added support for extended CUDA API error reporting. This option is enabled by default and may result in newly-displayed error reports. See CUDA API Error Checking.

- Added support for the `.ignore_oob` qualifier of the `cp.async.bulk` PTX instruction.

- Fixed an issue with device backtraces on generic memory accesses.

- Fixed an issue with coredump generation in synccheck and initcheck for shared memory (requires a driver version superior or equal to 595).

- Fixed false positives and false negatives in racecheck involving indirect barrier synchronization dependencies across clusters.

- Fixed false positives in racecheck when using warpgroup-level synchronizations on Hopper.

- Fixed other false positives in racecheck.

- Fixed potential false positives in memcheck and initcheck.

- Fixed a false positive in initcheck when using `cp.async.bulk`.

### Updates in 2025.4.1

- Fixed a false positive with memcheck stream-ordered allocation race detection when using memory allocated with `cudaMallocAsync` on the null stream from another stream created after the allocation.

- Fixed a memory leak when using Python to launch CUDA kernels.

### Updates in 2025.4

- Added support for the `-fdevice-sanitize=memcheck` compiler option. See Compile-time patching.

- Added support for initcheck on shared memory using the `--initcheck-address-space` option. See Initcheck address space selection.

- Added initcheck support for the PTX instruction `cp.async.bulk` and `cp.async.red`.

- Added support for atomic reduction stream memory operations in initcheck and the sanitizer API.

- Added support stream-ordered allocations race detection for green contexts. The stream-ordered allocations race detection is now enabled by default.

- Added the `--report-device-side-allocation-failure` option for memcheck to report device-side `malloc()` returning `NULL`.

- Added `SANITIZER_CUDA_BARRIER_CP_ASYNC_ARRIVE` and `SANITIZER_CUDA_BARRIER_CP_ASYNC_ARRIVE_NO_INC` cuda barrier type in the public API. These were both reported as `SANITIZER_CUDA_BARRIER_ARRIVE` previously. A compiler from the 13.1 CUDA Toolkit or more recent is required for full accuracy.

- Fixed an issue where synccheck would report false positives when using `cp.arrive.async` without `.noinc`. It is required to recompile applications with the compiler included in the 13.1 CUDA Toolkit or more recent to benefit from the fix.

- Fixed an issue where the device backtrace would be incomplete or corrupted when reporting errors on generic memory accesses.

- Fixed multiple false-positives in racecheck involving `mbarrier` usage.

- Fixed an issue where some applications may crash during the program exit on Windows.

- Fixed an issue where some applications may hang during the program exit on Windows. This requires a driver version of 590 or more recent.

### Updates in 2025.3.1

- Fixed an issue where racecheck on Windows may hang at the end of the program in some cases.

### Updates in 2025.3

- Removed support for Maxwell, Pascal and Volta GPUs.

- Added support for PTX instructions `st.async` and `red.async` with `.release` semantics on Blackwell.

- Added additional types of deadlock detection with the `--racecheck-deadlock-timeout`.

- Fixed potential false positives in racecheck related to warpsync on Blackwell.

- Fixed an issue where some events were not reported when the first lane of a warp was not active when using the `racecheck-trace-sync` option.

- Fixed potential false positives or negatives in racecheck when using `mbarrier` with different addresses within a warp.

- Fixed potential false negatives in `synccheck` when using a barrier from different function calls across warps.

- Fixed an issue on Blackwell where `--num-cuda-barriers` would require a larger number than expected to function properly.

### Updates in 2025.2.1

- Fixed an issue where using `cp.async.mbarrier.arrive` synchronization for `cp.async` would lead to corruption, crash or invalid results when using racecheck.

- Fixed potential false positives in memcheck when using a device-side malloc heap size superior to 4GB.

### Updates in 2025.2

- Added public API and memcheck support for all previously unimplemented directions of the PTX `cp.async.bulk` and `cp.reduce.async.bulk`.

- Added racecheck deadlock detection with the `--racecheck-deadlock-timeout` option. See the racecheck deadlock detection documentation.

- Added the `--racecheck-trace-sync` option to trace synchronization information in racecheck. See the racecheck synchronization tracing documentation.

- Added extra reporting for tensor memory leak detection.

- Added support for new vector and sizes configurations for `ld` and `st` on Blackwell.

- Added `SANITIZER_INSTRUCTION_CUDA_BARRIER_ATTEMPT` callback to the patching API for all attempts at waiting on PTX `mbarrier`.

- Fixed an issue with mbarrier arrive on transactional barrier in racecheck and synccheck in Hopper+.

- Fixed a crash when using `cudaMallocAsync` and `cuMemmap` in the same program with enabled peer-GPU access in memcheck.

- Fixed issues in racecheck and synccheck when using PTX `mbarrier` with different addresses in the same warp.

- Fixed a potential crash with the error suppression option when using reference files without host backtrace.

### Updates in 2025.1

- Added support for additional Blackwell GPUs.

- Modified the way backtraces are displayed: By default, strip paths from files, and avoid displaying frames below main and extra CUDA runtime frames. Added the `--strip-path` and `--backtrace-short` options to control this behavior.

- Added support for native Python host backtraces.

- Added guardrails support for the PTX `tcgen05` instructions. See the Tensor Core MMA guardrails documentation for more information.

- Added reports when encountering user-issued breakpoints.

- Added support for OptiX 9.0.

- Added Sanitizer API patching support for the PTX `cp.async.mbarrier.arrive` asynchronous join operation.

- Added Sanitizer API patching support for post-release `syncwarp`.

- Fixed a potential false positive in racecheck when using `cp.async.mbarrier.arrive` to synchronize memcpy async operations and using the same thread to immediately access the copy destination.

- Fixed a potential false positive in racecheck when using `syncwarp`.

- Fixed excessive synccheck and racecheck device and host memory consumption in some circumstances with programs initializing PTX `mbarrier` in a loop.

- Fixed potentially wrong block coordinates being displayed in racecheck reports when having multiple clusters.

### Updates in 2024.4

- Added support for the Blackwell architecture.

- Added support for Tensor core barriers.

- Added public API and memcheck support for the `st.bulk` PTX instruction.

- Added racecheck support for the `cp.async.bulk` PTX instruction from global to shared memory.

- Improved performance of racecheck indirect barrier dependency option and enabled it by default.

- Fixed issues where device callbacks would in some cases be called with the wrong threads for a limited set of instructions.

- Fixed racecheck and synccheck issues with `cuda::barrier` tracking overflow.

- Fixed racecheck and synccheck issues with cluster barriers.

- Fixed memcheck and public API issues when importing memory from other processes and having `CUDA_VISIBLE_DEVICES` set.

- Fixed potential false positives with initcheck when doing 3D memcpy/memset operations.

### Updates in 2024.3

- Fixed potential invalid results on Ampere with synccheck and racecheck relating to `cuda::barrier`. `cuda::barrier` wait events are now called after the wait as completed in the same fashion as Hopper. This may require target applications to be recompiled with a CUDA 12.4 or more recent compiler.

- Fixed multiple issues with coredump generation that resulted in failures or hangs.

- Fixed potential false positives in memcheck with the PTX instruction `st.async` on the barrier address.

- Fixed a potential hang when using per-thread default streams or green contexts and synchronous `cudaMemcpy` from device to host.

- Fixed potential issues with host backtraces on Windows.

- Fixed potential false positives misaligned accesses in memcheck with the PTX instruction `cp.async.bulk`.

### Updates in 2024.2

- Added public API and memcheck support for PTX cp.async.bulk operations from global to shared memory on Hopper.

- Added support for OptiX 8.1.

- Dropped support for Linux ppc64le: this platform is no longer supported.

- Fixed an issue where memcheck would report misaligned or out of bounds false positives with accesses of a larger size than the actual operation in specific cases.

- Fixed potential issues when using Heterogeneous Memory Management.

- Fixed potential crashes or false results in racecheck when using clusters on Hopper.

- Added a warning when clearing unsupported coredump-related environment variables.

- Clarified in documentation when leak errors are reported.

### Updates in 2024.1.1

- Fixed an issue where errors would not be reported in libraries called from .NET applications.

### Updates in 2024.1

- Enable shared addressing support by default: removed option `--hmm-support` and replaced it with environment variable `NV_COMPUTE_SANITIZER_SHARED_ADDRESSING_SUPPORT`. See the environment variables documentation for more information.

- Changed default value for option `--target-processes` to `all`.

- Added detection for `cuda::barrier` initialization race conditions in racecheck on Hopper.

- Added support for initcheck API errors suppression.

- Added memcheck support for `cuMemPoolImportPointer`.

- Added support for CUDA green contexts.

- Added support for CUDA graph device-side node update.

- Fixed potential false positives with synccheck when using different `cuda::barrier` in a single warp.

- Fixed potential false negatives with memcheck when using floating point atomics on Hopper.

### Updates in 2023.1.1

- Fixed error output for WGMMA instructions.

### Updates in 2023.3

- Added support for Heterogeneous Memory Management (HMM) and Address Translation Service (ATS). The feature is opt-in using the `--hmm-support` command-line option.

- Added racecheck support for device graph launches.

- Added the ability to suppress known issues using the `--suppressions` command-line option. See the suppressions documentation for more information.

- Added support for external memory objects. This effectively adds support for Vulkan and D3D12 interop.

- Added device backtrace support for WSL.

- Improve PC offset output. It is now printed next to the function name to clarify it is an assembly offset within that function.

- Several command-line options no longer require to explicitly specify “yes” or “no” when they are used.

- Renamed the options `--kernel-regex` and `--kernel-regex-exclude` to `--kernel-name` and `--kernel-name-exclude`.

- Added the regex filtering key to `--kernel-name` and `--kernel-name-exclude`.

- Added new command-line option `--racecheck-indirect-barrier-dependency` to enable indirect `cuda::barrier` tracking in racecheck.

- Added new command-line option `--coredump-behavior` to control the target application behavior after generating a GPU coredump.

- Added new command-line option `--detect-missing-module-unload` to detect missing calls to the `cuModuleUnload` driver API.

- Added new command-line option `--preload-library` to make the target application load a shared library before the injection libraries.

- Fix initcheck false positive when memory loads are widened and include padding bytes.

- Fix potential hang in racecheck and synccheck tools when the `bar.arrive` instruction is used.

- Added patching API support for the `setsmemsize` instruction.

- Added patching API support for `__syncthreads()` after the barrier is released.

### Updates in 2023.2.2

- Updated version print output to include build and config information.

- Fix potential hang on QNX when capturing the host backtrace.

### Updates in 2023.2.1

- Fixed potential racecheck hang on H100 when using thread block clusters.

- Compute Sanitizer 2023.2.1 is incorrectly versioned as 2023.2.0 and need to be differentiated by its build ID 33053471.

### Updates in 2023.2

- Added support for CUDA device graph launches.

- Added racecheck support for cluster entry and exit race detection for remote shared memory accesses. See the cluster entry and exit race detection documentation for more information.

- Added support for CUDA lazy loading when device heap checking is enabled. Requires CUDA driver version 535 or newer.

- Added support for tracking child processes launched with `system()` or `posix_spawn(p)` when using `--target-processes all`.

- Added support for `st.async` and `red.async` instructions.

- Improved support for partial warp synchronization using cooperative groups in racecheck.

- Improved support for `cuda::barrier::wait()` on SM 9.x.

- Added coredump support for Pascal architecture and multi-context applications.

- Added support for OptiX 8.0.

- Improved performance when using initcheck in OptiX applications in some cases. Using initcheck to track OptiX applications now requires the option `--check-optix yes`.

### Updates in 2023.1.1

- Fixed bug where memcheck would report out-of-bound accesses when loading user parameter values using a ternary operator.

- Fixed potential crash when using leakcheck with applications using CUBLAS.

- Fixed potential false positives when using synccheck or racecheck with applications using CUDA barriers.

### Updates in 2023.1

- Added racecheck support for distributed shared memory.

- Extended stream-ordered race detection to `cudaMemcpy` APIs.

- Added memcheck, synccheck and patching API support for warpgroup operations.

- Added `--coredump-name` CLI option to set the coredump file name.

- Added support for Unicode file paths.

- Added support for OptiX 7.7.

### Updates in 2022.4.1

- Fixed bug where synccheck would incorrectly report illegal instructions for code using `cluster.sync()` and compiled with `--device-debug`

- Fixed incorrect address reports in SanitizerCallbackMemcpyAsync in some specific cases, leading to potential invalid results in memcheck and racecheck.

- Fixed potential hangs and invalid results with racecheck on OptiX applications.

- Fixed potential crash or invalid results when using CUDA Lazy Module Loading with memcheck or initcheck if `--check-device-heap` is enabled. Lazy Module Loading will be automatically disabled in these cases.

### Updates in 2022.4

- Added support for `__nv_aligned_device_malloc`.

- Added support for `ldmatrix` and `stmatrix` instructions.

- Added support for cache control operations when using the `--check-cache-control` command-line option.

- Added new command-line option `--unused-memory-threshold` to control the threshold for unused memory reports.

- Improved support for CUDA pipeline memcpy-async related hazards in racecheck.

### Updates in 2022.3

- Added support for the NVIDIA GH100/SM 9.x GPU architecture.

- Added support for the NVIDIA AD10x/SM 8.9 GPU architecture.

- Added support for lazy kernel loading.

- Added memcheck support for distributed shared memory.

- Added new options `--num-callers-device` and `--num-callers-host` to control the number of callers to print in stack traces.

- Added support for OptiX 7.6 applications.

- Fix bug on Linux ppc64le where the host stack trace was incomplete.

### Updates in 2022.2.1

- Fixed incorrect device backtrace for applications compiled with `-lineinfo`.

### Updates in 2022.2

- Added memcheck support for use-before-alloc and use-after-free race detection. See the stream-ordered race detection documentation for more information.

- Added leakcheck support for asynchronous allocations, OptiX resources and CUDA memmap (on Linux only for the latter).

- Added option to ignore `CUDA_ERROR_NOT_FOUND` error codes returned by the `cuGetProcAddress` API.

- Added new sanitizer API functions to allocate and free page-locked host memory.

- Added sanitizer API callbacks for the event management API.

### Updates in 2022.1.1

- Fixed initcheck issue where the tool would incorrectly abort a CUDA kernel launch after reporting an uninitialized access on Windows with hardware scheduling enabled.

### Updates in 2022.1

- Added support for generating coredumps.

- Improved support for stack overflow detection.

- Added new option `--target-processes-filter` to filter the processes being tracked by name.

- Added initcheck support for asynchronous allocations. Requires CUDA driver version 510 or newer.

- Added initcheck support for accesses on peer devices. Requires CUDA driver version 510 or newer.

- Added support for OptiX 7 applications.

- Added support for tracking the child processes of 32-bit processes in multi-process applications on Linux and Windows x86_64.

### Updates in 2021.3.1

- Fixed intermittent issue on vGPU where synccheck would incorrectly detect divergent threads.

- Fixed potential hang when tracking several graph launches.

### Updates in 2021.3

- Improved Linux host backtrace.

- Removed requirement to call `cudaDeviceReset()` for accurate reporting of memory leaks and unused memory features.

- Fixed synccheck potential hang when calling `__syncthreads` in divergent code paths on Volta GPUs or newer.

- Added print of nearest allocation information for memcheck precise errors in global memory.

- Added warning when calling device-side `malloc` with an empty size.

- Added separate sanitizer API device callback for `cuda::memcpy_async`.

- Added new command-line option `--num-cuda-barriers` to override the expected number of `cuda::barrier` used by the target application.

- Added new command-line options `--print-session-details` to print session information and `--save-session-details` to save it to the output file.

- Added support for WSL2.

### Updates in 2021.2.3

- Enabled SLS hardening and branch protection for L4T builds.

### Updates in 2021.2.2

- Enabled stack canaries with random canary values for L4T builds.

### Updates in 2021.2.1

- Added device backtrace for malloc/free errors in CUDA kernels.

- Improved racecheck host memory footprint.

### Updates in 2021.2

- Added racecheck and synccheck support for `cuda::barrier` on Ampere GPUs or newer.

- Added racecheck support for `__syncwarp` with partial mask.

- Added `--launch-count` and `--launch-skip` filtering options. See the Command Line Options documentation for more information.

- `--filter` and `--exclude` options have been respectively renamed to `--kernel-regex` and `--kernel-regex-exclude`.

- Added support for QNX and Linux aarch64 platforms.

- Added support for CUDA graphs memory nodes.

### Updates in 2021.1.1

- Fixed an issue where incorrect line numbers could be shown in errors reports.

### Updates in 2021.1

- Added support for allocation padding via the `--padding` option.

- Added experimental support for NVTX memory API using option `--nvtx yes`. Please refer to NVTX API for Compute Sanitizer Reference Manual for more information.

### Updates in 2020.3.1

- Fixed issue when launching a CUDA graph multiple times.

- Fixed false positives when using cooperative groups synchronization primitives with initcheck and synccheck.

### Updates in 2020.3

- Added support for CUDA memory pools and CUDA API reduced serialization.

- Added host backtrace for unused memory reports.

### Updates in 2020.2.1

- Fixed crash when loading cubins of size larger than 2 GiB.

- Fixed error detection on systems with multiple GPUs.

- Fixed issue when using CUDA Virtual Memory Management API `cuMemSetAccess` to remove access to a subset of devices on a system with multiple GPUs.

- Added sanitizer API to translate between sanitizer and CUDA stream handles.

### Updates in 2020.2

- Added support for CUDA graphs and CUDA memmap APIs.

- The memory access callback of the sanitizer API has been split into three distinct callbacks corresponding to global, shared and local memory accesses.

### Updates in 2020.1.2

- Added sanitizer stream API. This fixes tool crashes when per-thread streams are being used.

### Updates in 2020.1.1

- Added support for Windows Hardware-accelerated GPU scheduling

- Added support for tracking child processes spawned by the application launched under the tool via the `--target-processes` CLI option.

### Updates in 2020.1

- Initial release of the Compute Sanitizer (with CUDA 11.0)

Updates to the Sanitizer API :

- Added support for per-thread streams

- Added APIs to retrieve the PC and size of a CUDA function or patch

- Added callback for `cudaStreamAttachMemAsync`

- Added direction to memcpy callback data

- Added stream to memcpy and memset callbacks data

- Added launch callback after syscall setup

- Added visibility field to allocation callback data

- Added PC argument to block entry callback

- Added incoming value to memory access callbacks

- Added threadCount to barrier callbacks

- Added cooperative group flags for barrier and function callbacks

### Updates in 2019.1

- Initial release of the Compute Sanitizer API (with CUDA 10.1)

## Known Limitations

- Applications run much slower under the Compute Sanitizer tools. This may cause some kernel launches to fail with a launch timeout error when running with the Compute Sanitizer enabled.

- Compute Sanitizer does not support checking host-side memory access violations and leaks for accesses made outside of CUDA API calls (e.g. accessing a buffer from the CPU).

- Compute Sanitizer tools do not support coredumps on WSL2.

- The memcheck tool does not support CUDA API error checking for API calls made on the GPU using dynamic parallelism.

- The racecheck, synccheck and initcheck tools do not support CUDA dynamic parallelism.

- CUDA dynamic parallelism is not supported when Windows Hardware-accelerated GPU scheduling is enabled.

- Compute Sanitizer tools cannot interoperate with other CUDA developer tools. This includes CUDA coredumps which are automatically disabled by the Compute Sanitizer. They can be enabled instead by using the `--generate-coredump` option.

- The initcheck tool does not support IPC allocations. Using it will result in false positives.

- Compute Sanitizer tools are not supported when SLI is enabled.

- The racecheck tool is not supported under Confidential Computing.

- The memcheck tool does not detect out-of-bounds accesses into the reserved shared memory region. For more information on reserved shared memory, refer to the Special Registers Reserved for Shared Memory section of the PTX documentation.

- Some `tensormap` and `tcgen05` instructions accessing global memory are not currently supported, which may result in initcheck false positives.

- When using memcheck with compile-time patching (`-fdevice-sanitize=memcheck`), overflow errors between different shared memory variables within the same allocation are not detected.

- When using memcheck with compile-time patching (`-fdevice-sanitize=memcheck`), function-level hybrid instrumentation is not supported. When a module contains both instrumented and non-instrumented functions, functions that are not instrumented by the compiler will not be binary instrumented. To ensure full coverage, compile all functions in a module with `-fdevice-sanitize=memcheck`.

- When using memcheck with compile-time patching (`-fdevice-sanitize=memcheck`), Heterogeneous Memory Management (HMM) is not supported. Using it will result in false positives.

- When using memcheck with compile-time patching (`-fdevice-sanitize=memcheck`), the resource usage of a kernel may change, which can lead to the error: “RuntimeError: CUDA error: too many resources requested for launch”. To validate resource usage and maintain forward compatibility, the `__launch_bounds__()` qualifier can be used as described in the CUDA C Programming Guide.

## Known Issues

- On QNX, the host backtrace may not be displayed correctly. Proper line information can be retrieved using `addr2line` with the offsets provided in the brackets.

- On L4T, error reports may be duplicated. In some cases some malformed reports may also appear after reporting the originally found error.

- The `--fdevice-sanitize=memcheck` nvcc option does not apply compile-time patching for memcheck to JIT-compiled programs. To enable memcheck with compile-time patching in a JIT-compiled program, use the `-Xptxas=-sanitize=memcheck` option instead.

- When using memcheck with compile-time patching (`-fdevice-sanitize=memcheck`), shared memory accesses when using clusters are not currently supported. Using this feature will result in false positives.

- When using memcheck with compile-time patching (`-fdevice-sanitize=memcheck`), use of the sink operator (`_`) in `ld` or `stg` PTX instructions is not currently supported and may result in false positives.

- The synccheck tool may incorrectly emit divergence in block errors in applications compiled with the 13.0 CUDA toolkit using cooperative group synchronizations.

- The racecheck tool may print incorrect data for “Current value” when reporting a hazard on a shared memory location where the last access was an atomic operation. This can also impact the severity of this hazard.

- On QNX, when using the `--target-processes all` option, analyzing shell scripts may hang after the script has completed. End the application using Ctrl-C on the command line in that case.

- The initcheck tool might report false positives for device-to-host cudaMemcpy operations on padded structs that were initialized by a CUDA kernel. The `#pragma pack` directive can be used to disable the padding as a workaround.

- When a hardware exception occur during a kernel launch that was skipped due to the usage of the `kernel-name`, `kernel-name-exclude`, `launch-count` or `launch-skip` options, the memcheck tool will not be able to report additional details as an imprecise error.

- The leakcheck feature is disabled under Confidential Computing.

## Support

Information on supported platforms and GPUs.

### Platform Support

Table 1. Platforms supported by Compute Sanitizer
Platform | Support
--- | ---
Windows | Yes
Linux (x86_64) | Yes
Linux (ppc64le) | No
Linux (aarch64sbsa) | Yes
Linux (aarch64) | Yes
QNX | Yes
MacOSX | No

### GPU Support

The compute-sanitizer tools are supported on all CUDA capable GPUs with SM versions 7.5 and above.

Notices

Notice

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Trademarks

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