6.13. Stream Ordered Memory Allocator

overview

The asynchronous allocator allows the user to allocate and free in stream order. All asynchronous accesses of the allocation must happen between the stream executions of the allocation and the free. If the memory is accessed outside of the promised stream order, a use before allocation / use after free error will cause undefined behavior.

The allocator is free to reallocate the memory as long as it can guarantee that compliant memory accesses will not overlap temporally. The allocator may refer to internal stream ordering as well as inter-stream dependencies (such as CUDA events and null stream dependencies) when establishing the temporal guarantee. The allocator may also insert inter-stream dependencies to establish the temporal guarantee.

Supported Platforms

Whether or not a device supports the integrated stream ordered memory allocator may be queried by calling cudaDeviceGetAttribute() with the device attribute cudaDevAttrMemoryPoolsSupported.

Functions

__host__cudaError_t cudaFreeAsync ( void* devPtr, cudaStream_t hStream )
Frees memory with stream ordered semantics.
__host__cudaError_t cudaMallocAsync ( void** devPtr, size_t size, cudaStream_t hStream )
Allocates memory with stream ordered semantics.
__host__cudaError_t cudaMallocFromPoolAsync ( void** ptr, size_t size, cudaMemPool_t memPool, cudaStream_t stream )
Allocates memory from a specified pool with stream ordered semantics.
__host__cudaError_t cudaMemPoolCreate ( cudaMemPool_t* memPool, const cudaMemPoolProps* poolProps )
Creates a memory pool.
__host__cudaError_t cudaMemPoolDestroy ( cudaMemPool_t memPool )
Destroys the specified memory pool.
__host__cudaError_t cudaMemPoolExportPointer ( cudaMemPoolPtrExportData* exportData, void* ptr )
Export data to share a memory pool allocation between processes.
__host__cudaError_t cudaMemPoolExportToShareableHandle ( void* shareableHandle, cudaMemPool_t memPool, cudaMemAllocationHandleType handleType, unsigned int  flags )
Exports a memory pool to the requested handle type.
__host__cudaError_t cudaMemPoolGetAccess ( cudaMemAccessFlags* flags, cudaMemPool_t memPool, cudaMemLocation* location )
Returns the accessibility of a pool from a device.
__host__cudaError_t cudaMemPoolGetAttribute ( cudaMemPool_t memPool, cudaMemPoolAttr attr, void* value )
Gets attributes of a memory pool.
__host__cudaError_t cudaMemPoolImportFromShareableHandle ( cudaMemPool_t* memPool, void* shareableHandle, cudaMemAllocationHandleType handleType, unsigned int  flags )
imports a memory pool from a shared handle.
__host__cudaError_t cudaMemPoolImportPointer ( void** ptr, cudaMemPool_t memPool, cudaMemPoolPtrExportData* exportData )
Import a memory pool allocation from another process.
__host__cudaError_t cudaMemPoolSetAccess ( cudaMemPool_t memPool, const cudaMemAccessDesc* descList, size_t count )
Controls visibility of pools between devices.
__host__cudaError_t cudaMemPoolSetAttribute ( cudaMemPool_t memPool, cudaMemPoolAttr attr, void* value )
Sets attributes of a memory pool.
__host__cudaError_t cudaMemPoolTrimTo ( cudaMemPool_t memPool, size_t minBytesToKeep )
Tries to release memory back to the OS.

Functions

__host__cudaError_t cudaFreeAsync ( void* devPtr, cudaStream_t hStream )
Frees memory with stream ordered semantics.
Parameters
devPtr
hStream
- The stream establishing the stream ordering promise
Description

Inserts a free operation into hStream. The allocation must not be accessed after stream execution reaches the free. After this API returns, accessing the memory from any subsequent work launched on the GPU or querying its pointer attributes results in undefined behavior.

Note:

During stream capture, this function results in the creation of a free node and must therefore be passed the address of a graph allocation.

Note:

See also:

cuMemFreeAsync, cudaMallocAsync

__host__cudaError_t cudaMallocAsync ( void** devPtr, size_t size, cudaStream_t hStream )
Allocates memory with stream ordered semantics.
Parameters
devPtr
- Returned device pointer
size
- Number of bytes to allocate
hStream
- The stream establishing the stream ordering contract and the memory pool to allocate from
Returns

cudaSuccess, cudaErrorInvalidValue, cudaErrorNotSupported, cudaErrorOutOfMemory,

Description

Inserts an allocation operation into hStream. A pointer to the allocated memory is returned immediately in *dptr. The allocation must not be accessed until the the allocation operation completes. The allocation comes from the memory pool associated with the stream's device.

Note:
  • The default memory pool of a device contains device memory from that device.

  • Basic stream ordering allows future work submitted into the same stream to use the allocation. Stream query, stream synchronize, and CUDA events can be used to guarantee that the allocation operation completes before work submitted in a separate stream runs.

  • During stream capture, this function results in the creation of an allocation node. In this case, the allocation is owned by the graph instead of the memory pool. The memory pool's properties are used to set the node's creation parameters.

Note:

See also:

cuMemAllocAsync, cudaMallocAsync ( C++ API), cudaMallocFromPoolAsync, cudaFreeAsync, cudaDeviceSetMemPool, cudaDeviceGetDefaultMemPool, cudaDeviceGetMemPool, cudaMemPoolSetAccess, cudaMemPoolSetAttribute, cudaMemPoolGetAttribute

__host__cudaError_t cudaMallocFromPoolAsync ( void** ptr, size_t size, cudaMemPool_t memPool, cudaStream_t stream )
Allocates memory from a specified pool with stream ordered semantics.
Parameters
ptr
- Returned device pointer
size
memPool
- The pool to allocate from
stream
- The stream establishing the stream ordering semantic
Returns

cudaSuccess, cudaErrorInvalidValue, cudaErrorNotSupported, cudaErrorOutOfMemory

Description

Inserts an allocation operation into hStream. A pointer to the allocated memory is returned immediately in *dptr. The allocation must not be accessed until the the allocation operation completes. The allocation comes from the specified memory pool.

Note:
  • The specified memory pool may be from a device different than that of the specified hStream.

  • Basic stream ordering allows future work submitted into the same stream to use the allocation. Stream query, stream synchronize, and CUDA events can be used to guarantee that the allocation operation completes before work submitted in a separate stream runs.

Note:

During stream capture, this function results in the creation of an allocation node. In this case, the allocation is owned by the graph instead of the memory pool. The memory pool's properties are used to set the node's creation parameters.

See also:

cuMemAllocFromPoolAsync, cudaMallocAsync ( C++ API), cudaMallocAsync, cudaFreeAsync, cudaDeviceGetDefaultMemPool, cudaMemPoolCreate, cudaMemPoolSetAccess, cudaMemPoolSetAttribute

__host__cudaError_t cudaMemPoolCreate ( cudaMemPool_t* memPool, const cudaMemPoolProps* poolProps )
Creates a memory pool.
Description

Creates a CUDA memory pool and returns the handle in pool. The poolProps determines the properties of the pool such as the backing device and IPC capabilities.

To create a memory pool targeting a specific host NUMA node, applications must set cudaMemPoolProps::cudaMemLocation::type to cudaMemLocationTypeHostNuma and cudaMemPoolProps::cudaMemLocation::id must specify the NUMA ID of the host memory node. Specifying cudaMemLocationTypeHostNumaCurrent or cudaMemLocationTypeHost as the cudaMemPoolProps::cudaMemLocation::type will result in cudaErrorInvalidValue. By default, the pool's memory will be accessible from the device it is allocated on. In the case of pools created with cudaMemLocationTypeHostNuma, their default accessibility will be from the host CPU. Applications can control the maximum size of the pool by specifying a non-zero value for cudaMemPoolProps::maxSize. If set to 0, the maximum size of the pool will default to a system dependent value.

Applications can set cudaMemPoolProps::handleTypes to cudaMemHandleTypeFabric in order to create cudaMemPool_t suitable for sharing within an IMEX domain. An IMEX domain is either an OS instance or a group of securely connected OS instances using the NVIDIA IMEX daemon. An IMEX channel is a global resource within the IMEX domain that represents a logical entity that aims to provide fine grained accessibility control for the participating processes. When exporter and importer CUDA processes have been granted access to the same IMEX channel, they can securely share memory. If the allocating process does not have access setup for an IMEX channel, attempting to export a CUmemoryPool with cudaMemHandleTypeFabric will result in cudaErrorNotPermitted. The nvidia-modprobe CLI provides more information regarding setting up of IMEX channels.

Note:

Specifying cudaMemHandleTypeNone creates a memory pool that will not support IPC.

See also:

cuMemPoolCreate, cudaDeviceSetMemPool, cudaMallocFromPoolAsync, cudaMemPoolExportToShareableHandle, cudaDeviceGetDefaultMemPool, cudaDeviceGetMemPool

__host__cudaError_t cudaMemPoolDestroy ( cudaMemPool_t memPool )
Destroys the specified memory pool.
Description

If any pointers obtained from this pool haven't been freed or the pool has free operations that haven't completed when cudaMemPoolDestroy is invoked, the function will return immediately and the resources associated with the pool will be released automatically once there are no more outstanding allocations.

Destroying the current mempool of a device sets the default mempool of that device as the current mempool for that device.

Note:

A device's default memory pool cannot be destroyed.

See also:

cuMemPoolDestroy, cudaFreeAsync, cudaDeviceSetMemPool, cudaDeviceGetDefaultMemPool, cudaDeviceGetMemPool, cudaMemPoolCreate

__host__cudaError_t cudaMemPoolExportPointer ( cudaMemPoolPtrExportData* exportData, void* ptr )
Export data to share a memory pool allocation between processes.
Parameters
exportData
ptr
- pointer to memory being exported
Returns

cudaSuccess, cudaErrorInvalidValue, cudaErrorOutOfMemory

Description

Constructs shareData_out for sharing a specific allocation from an already shared memory pool. The recipient process can import the allocation with the cudaMemPoolImportPointer api. The data is not a handle and may be shared through any IPC mechanism.

See also:

cuMemPoolExportPointer, cudaMemPoolExportToShareableHandle, cudaMemPoolImportFromShareableHandle, cudaMemPoolImportPointer

__host__cudaError_t cudaMemPoolExportToShareableHandle ( void* shareableHandle, cudaMemPool_t memPool, cudaMemAllocationHandleType handleType, unsigned int  flags )
Exports a memory pool to the requested handle type.
Parameters
shareableHandle
memPool
handleType
- the type of handle to create
flags
- must be 0
Returns

cudaSuccess, cudaErrorInvalidValue, cudaErrorOutOfMemory

Description

Given an IPC capable mempool, create an OS handle to share the pool with another process. A recipient process can convert the shareable handle into a mempool with cudaMemPoolImportFromShareableHandle. Individual pointers can then be shared with the cudaMemPoolExportPointer and cudaMemPoolImportPointer APIs. The implementation of what the shareable handle is and how it can be transferred is defined by the requested handle type.

Note:

: To create an IPC capable mempool, create a mempool with a CUmemAllocationHandleType other than cudaMemHandleTypeNone.

See also:

cuMemPoolExportToShareableHandle, cudaMemPoolImportFromShareableHandle, cudaMemPoolExportPointer, cudaMemPoolImportPointer

__host__cudaError_t cudaMemPoolGetAccess ( cudaMemAccessFlags* flags, cudaMemPool_t memPool, cudaMemLocation* location )
Returns the accessibility of a pool from a device.
Parameters
flags
- the accessibility of the pool from the specified location
memPool
- the pool being queried
location
- the location accessing the pool
Description

Returns the accessibility of the pool's memory from the specified location.

See also:

cuMemPoolGetAccess, cudaMemPoolSetAccess

__host__cudaError_t cudaMemPoolGetAttribute ( cudaMemPool_t memPool, cudaMemPoolAttr attr, void* value )
Gets attributes of a memory pool.
Parameters
memPool
attr
- The attribute to get
value
- Retrieved value
Description

Supported attributes are:

  • cudaMemPoolAttrReleaseThreshold: (value type = cuuint64_t) Amount of reserved memory in bytes to hold onto before trying to release memory back to the OS. When more than the release threshold bytes of memory are held by the memory pool, the allocator will try to release memory back to the OS on the next call to stream, event or context synchronize. (default 0)

  • cudaMemPoolReuseFollowEventDependencies: (value type = int) Allow cudaMallocAsync to use memory asynchronously freed in another stream as long as a stream ordering dependency of the allocating stream on the free action exists. Cuda events and null stream interactions can create the required stream ordered dependencies. (default enabled)

  • cudaMemPoolReuseAllowOpportunistic: (value type = int) Allow reuse of already completed frees when there is no dependency between the free and allocation. (default enabled)

  • cudaMemPoolReuseAllowInternalDependencies: (value type = int) Allow cudaMallocAsync to insert new stream dependencies in order to establish the stream ordering required to reuse a piece of memory released by cudaFreeAsync (default enabled).

  • cudaMemPoolAttrReservedMemCurrent: (value type = cuuint64_t) Amount of backing memory currently allocated for the mempool.

  • cudaMemPoolAttrReservedMemHigh: (value type = cuuint64_t) High watermark of backing memory allocated for the mempool since the last time it was reset.

  • cudaMemPoolAttrUsedMemCurrent: (value type = cuuint64_t) Amount of memory from the pool that is currently in use by the application.

  • cudaMemPoolAttrUsedMemHigh: (value type = cuuint64_t) High watermark of the amount of memory from the pool that was in use by the application since the last time it was reset.

Note:

Note that as specified by cudaStreamAddCallback no CUDA function may be called from callback. cudaErrorNotPermitted may, but is not guaranteed to, be returned as a diagnostic in such case.

See also:

cuMemPoolGetAttribute, cudaMallocAsync, cudaFreeAsync, cudaDeviceGetDefaultMemPool, cudaDeviceGetMemPool, cudaMemPoolCreate

__host__cudaError_t cudaMemPoolImportFromShareableHandle ( cudaMemPool_t* memPool, void* shareableHandle, cudaMemAllocationHandleType handleType, unsigned int  flags )
imports a memory pool from a shared handle.
Parameters
memPool
shareableHandle
handleType
- The type of handle being imported
flags
- must be 0
Returns

cudaSuccess, cudaErrorInvalidValue, cudaErrorOutOfMemory

Description

Specific allocations can be imported from the imported pool with cudaMemPoolImportPointer.

Note:

Imported memory pools do not support creating new allocations. As such imported memory pools may not be used in cudaDeviceSetMemPool or cudaMallocFromPoolAsync calls.

See also:

cuMemPoolImportFromShareableHandle, cudaMemPoolExportToShareableHandle, cudaMemPoolExportPointer, cudaMemPoolImportPointer

__host__cudaError_t cudaMemPoolImportPointer ( void** ptr, cudaMemPool_t memPool, cudaMemPoolPtrExportData* exportData )
Import a memory pool allocation from another process.
Description

Returns in ptr_out a pointer to the imported memory. The imported memory must not be accessed before the allocation operation completes in the exporting process. The imported memory must be freed from all importing processes before being freed in the exporting process. The pointer may be freed with cudaFree or cudaFreeAsync. If cudaFreeAsync is used, the free must be completed on the importing process before the free operation on the exporting process.

Note:

The cudaFreeAsync api may be used in the exporting process before the cudaFreeAsync operation completes in its stream as long as the cudaFreeAsync in the exporting process specifies a stream with a stream dependency on the importing process's cudaFreeAsync.

See also:

cuMemPoolImportPointer, cudaMemPoolExportToShareableHandle, cudaMemPoolImportFromShareableHandle, cudaMemPoolExportPointer

__host__cudaError_t cudaMemPoolSetAccess ( cudaMemPool_t memPool, const cudaMemAccessDesc* descList, size_t count )
Controls visibility of pools between devices.
Parameters
memPool
descList
count
- Number of descriptors in the map array.
__host__cudaError_t cudaMemPoolSetAttribute ( cudaMemPool_t memPool, cudaMemPoolAttr attr, void* value )
Sets attributes of a memory pool.
Parameters
memPool
attr
- The attribute to modify
value
- Pointer to the value to assign
Description

Supported attributes are:

  • cudaMemPoolAttrReleaseThreshold: (value type = cuuint64_t) Amount of reserved memory in bytes to hold onto before trying to release memory back to the OS. When more than the release threshold bytes of memory are held by the memory pool, the allocator will try to release memory back to the OS on the next call to stream, event or context synchronize. (default 0)

  • cudaMemPoolReuseFollowEventDependencies: (value type = int) Allow cudaMallocAsync to use memory asynchronously freed in another stream as long as a stream ordering dependency of the allocating stream on the free action exists. Cuda events and null stream interactions can create the required stream ordered dependencies. (default enabled)

  • cudaMemPoolReuseAllowOpportunistic: (value type = int) Allow reuse of already completed frees when there is no dependency between the free and allocation. (default enabled)

  • cudaMemPoolReuseAllowInternalDependencies: (value type = int) Allow cudaMallocAsync to insert new stream dependencies in order to establish the stream ordering required to reuse a piece of memory released by cudaFreeAsync (default enabled).

  • cudaMemPoolAttrReservedMemHigh: (value type = cuuint64_t) Reset the high watermark that tracks the amount of backing memory that was allocated for the memory pool. It is illegal to set this attribute to a non-zero value.

  • cudaMemPoolAttrUsedMemHigh: (value type = cuuint64_t) Reset the high watermark that tracks the amount of used memory that was allocated for the memory pool. It is illegal to set this attribute to a non-zero value.

Note:

Note that as specified by cudaStreamAddCallback no CUDA function may be called from callback. cudaErrorNotPermitted may, but is not guaranteed to, be returned as a diagnostic in such case.

See also:

cuMemPoolSetAttribute, cudaMallocAsync, cudaFreeAsync, cudaDeviceGetDefaultMemPool, cudaDeviceGetMemPool, cudaMemPoolCreate

__host__cudaError_t cudaMemPoolTrimTo ( cudaMemPool_t memPool, size_t minBytesToKeep )
Tries to release memory back to the OS.
Parameters
memPool
minBytesToKeep
- If the pool has less than minBytesToKeep reserved, the TrimTo operation is a no-op. Otherwise the pool will be guaranteed to have at least minBytesToKeep bytes reserved after the operation.
Description

Releases memory back to the OS until the pool contains fewer than minBytesToKeep reserved bytes, or there is no more memory that the allocator can safely release. The allocator cannot release OS allocations that back outstanding asynchronous allocations. The OS allocations may happen at different granularity from the user allocations.

Note:
  • : Allocations that have not been freed count as outstanding.

  • : Allocations that have been asynchronously freed but whose completion has not been observed on the host (eg. by a synchronize) can count as outstanding.

Note:

Note that as specified by cudaStreamAddCallback no CUDA function may be called from callback. cudaErrorNotPermitted may, but is not guaranteed to, be returned as a diagnostic in such case.

See also:

cuMemPoolTrimTo, cudaMallocAsync, cudaFreeAsync, cudaDeviceGetDefaultMemPool, cudaDeviceGetMemPool, cudaMemPoolCreate