Uses of Class
ai.rapids.cudf.DeviceMemoryBuffer

Packages that use DeviceMemoryBuffer

Package	Description
ai.rapids.cudf
ai.rapids.cudf.nvcomp

Uses of DeviceMemoryBuffer in ai.rapids.cudf

Methods in ai.rapids.cudf that return DeviceMemoryBuffer

Modifier and Type	Method	Description
static DeviceMemoryBuffer	Rmm.alloc(long size)	Allocate device memory and return a pointer to device memory, using stream 0.
static DeviceMemoryBuffer	Rmm.alloc(long size, Cuda.Stream stream)	Allocate device memory and return a pointer to device memory.
static DeviceMemoryBuffer	DeviceMemoryBuffer.allocate(long bytes)	Allocate memory for use on the GPU.
static DeviceMemoryBuffer	DeviceMemoryBuffer.allocate(long bytes, Cuda.Stream stream)	Allocate memory for use on the GPU.
static DeviceMemoryBuffer	DeviceMemoryBuffer.fromRmm(long address, long lengthInBytes, long rmmBufferAddress)	Wrap an existing RMM allocation in a device memory buffer.
DeviceMemoryBuffer	ContiguousTable.getBuffer()	Get the device buffer backing the contiguous table data.
DeviceMemoryBuffer	GatherMap.releaseBuffer()	Release the underlying device buffer instance.
final DeviceMemoryBuffer	DeviceMemoryBuffer.slice(long offset, long len)	Slice off a part of the device buffer.
final DeviceMemoryBuffer	BaseDeviceMemoryBuffer.sliceWithCopy(long offset, long len)	Slice off a part of the device buffer, copying it instead of reference counting it.

Methods in ai.rapids.cudf with parameters of type DeviceMemoryBuffer

Modifier and Type	Method	Description
long	DataSource.deviceRead(long offset, DeviceMemoryBuffer dest, Cuda.Stream stream)	Read data from the source at the given offset into dest.
long	MultiBufferDataSource.deviceRead(long offset, DeviceMemoryBuffer dest, Cuda.Stream stream)
int[]	HybridScanReader.filterRowGroupsWithDictionaryPages(DeviceMemoryBuffer[] dictionaryPageData, int[] rowGroupIndices)	Filter row groups using column-chunk dictionary pages loaded into device memory.
static Table	Table.fromPackedTable(ByteBuffer metadata, DeviceMemoryBuffer data)	Construct a table from a packed representation.
static ColumnVector	ColumnVector.fromViewWithContiguousAllocation(long columnViewAddress, DeviceMemoryBuffer buffer)	Creates a ColumnVector from a native column_view using a contiguous device allocation.
Table	HybridScanReader.materializeAllColumns(int[] rowGroupIndices, DeviceMemoryBuffer[] columnChunkData)	Materialize all (or selected) columns in a single pass.
HybridScanReader.FilterMaterializationResult	HybridScanReader.materializeFilterColumns(int[] rowGroupIndices, DeviceMemoryBuffer[] columnChunkData, boolean usePageLevelPruning)	Build the initial row mask, materialize the filter columns, and evaluate the compiled filter expression against them.
Table	HybridScanReader.materializePayloadColumns(int[] rowGroupIndices, DeviceMemoryBuffer[] columnChunkData, ColumnVector rowMask, boolean usePageLevelPruning)	Materialize only the payload columns, applying the supplied row mask to the output.
long	ChunkedPack.next(DeviceMemoryBuffer userPtr)	Place the next contiguous chunk of our table into `userPtr`.
void	HybridScanReader.setupChunkingForAllColumns(long chunkReadLimit, long passReadLimit, int[] rowGroupIndices, DeviceMemoryBuffer[] columnChunkData)	Set up chunking state for all-column materialization (single-pass mode).
void	HybridScanReader.setupChunkingForFilterColumns(long chunkReadLimit, long passReadLimit, int[] rowGroupIndices, boolean usePageLevelPruning, DeviceMemoryBuffer[] columnChunkData)	Build the initial row mask and set up chunking state for filter-column materialization.
void	HybridScanReader.setupChunkingForPayloadColumns(long chunkReadLimit, long passReadLimit, int[] rowGroupIndices, ColumnVector rowMask, boolean usePageLevelPruning, DeviceMemoryBuffer[] columnChunkData)	Set up chunking state for payload-column materialization.

Constructors in ai.rapids.cudf with parameters of type DeviceMemoryBuffer

Modifier	Constructor	Description
	ColumnVector(DType type, long rows, Optional<Long> nullCount, DeviceMemoryBuffer dataBuffer, DeviceMemoryBuffer validityBuffer, DeviceMemoryBuffer offsetBuffer)	Create a new column vector based off of data already on the device.
	ColumnVector(DType type, long rows, Optional<Long> nullCount, DeviceMemoryBuffer dataBuffer, DeviceMemoryBuffer validityBuffer, DeviceMemoryBuffer offsetBuffer, List<DeviceMemoryBuffer> toClose, long[] childHandles)	Create a new column vector based off of data already on the device with child columns.
	GatherMap(DeviceMemoryBuffer buffer)	Construct a gather map instance from a device buffer.
	OffHeapState(long viewHandle, DeviceMemoryBuffer contiguousBuffer)	Create from existing cudf::column_view and contiguous buffer.
	OffHeapState(DeviceMemoryBuffer data, DeviceMemoryBuffer valid, DeviceMemoryBuffer offsets, List<DeviceMemoryBuffer> buffers, long viewHandle)	Create from existing cudf::column_view and buffers.

Constructor parameters in ai.rapids.cudf with type arguments of type DeviceMemoryBuffer

Modifier	Constructor	Description
	ColumnVector(DType type, long rows, Optional<Long> nullCount, DeviceMemoryBuffer dataBuffer, DeviceMemoryBuffer validityBuffer, DeviceMemoryBuffer offsetBuffer, List<DeviceMemoryBuffer> toClose, long[] childHandles)	Create a new column vector based off of data already on the device with child columns.
	OffHeapState(DeviceMemoryBuffer data, DeviceMemoryBuffer valid, DeviceMemoryBuffer offsets, List<DeviceMemoryBuffer> buffers, long viewHandle)	Create from existing cudf::column_view and buffers.

Uses of DeviceMemoryBuffer in ai.rapids.cudf.nvcomp

Methods in ai.rapids.cudf.nvcomp that return DeviceMemoryBuffer

Modifier and Type	Method	Description
DeviceMemoryBuffer[]	BatchedCompressor.compress(BaseDeviceMemoryBuffer[] origInputs, Cuda.Stream stream)	Compress a batch of buffers.