A newly created #GArrowCUDABuffer on success, %NULL on error. A #GArrowCUDAContext. The number of bytes to be allocated on GPU device for this context. A newly created #GArrowCUDABuffer on success, %NULL on error. The buffer has data from the IPC target. A #GArrowCUDAContext. A #GArrowCUDAIPCMemoryHandle to be communicated. A newly created #GArrowCUDABuffer on success, %NULL on error. The buffer has serialized record batch data. A #GArrowCUDAContext. A #GArrowRecordBatch to be serialized. %TRUE on success, %FALSE if there was an error. A #GArrowCUDABuffer. Data on CPU host to be copied. The size of data on CPU host to be copied in bytes. A #GBytes that have copied memory on CPU host on success, %NULL on error. A #GArrowCUDABuffer. The offset of memory on GPU device to be copied. The size of memory on GPU device to be copied in bytes. A newly created #GArrowCUDAIPCMemoryHandle to handle the exported buffer on success, %NULL on error A #GArrowCUDABuffer. A newly created #GArrowCUDAContext for the buffer. Contexts for the same buffer share the same data internally. A #GArrowCUDABuffer. A newly created #GArrowRecordBatch on success, %NULL on error. The record batch data is located on GPU. A #GArrowCUDABuffer. A #GArrowSchema for record batch. A #GArrowReadOptions. A newly created #GArrowCUDABufferInputStream. A #GArrowCUDABuffer. A newly created #GArrowCUDABufferOutputStream. A #GArrowCUDABuffer. The CPU buffer size in bytes. See garrow_cuda_buffer_output_stream_set_buffer_size() for CPU buffer size details. A #GArrowCUDABufferOutputStream. The size of buffered data in bytes. A #GArrowCUDABufferOutputStream. %TRUE on success, %FALSE if there was an error. Sets CPU buffer size. to limit `cudaMemcpy()` calls. If CPU buffer size is `0`, buffering is disabled. The default is `0`. A #GArrowCUDABufferOutputStream. A size of CPU buffer in bytes. The allocated memory by this context in bytes. A #GArrowCUDAContext. A newly created #GArrowCUDADeviceManager on success, %NULL on error. A newly created #GArrowCUDAContext on success, %NULL on error. Contexts for the same GPU device number share the same data internally. A #GArrowCUDADeviceManager. A GPU device number for the target context. The number of GPU devices. A #GArrowCUDADeviceManager. A newly created #GArrowCUDAHostBuffer on success, %NULL on error. The allocated memory is accessible from GPU device for the @context. A GPU device number for the target context. The number of bytes to be allocated on CPU host. A newly created #GArrowCUDAIPCMemoryHandle on success, %NULL on error. A serialized #GArrowCUDAIPCMemoryHandle. The size of data. A newly created #GArrowBuffer on success, %NULL on error. The buffer has serialized @handle. The serialized @handle can be deserialized by garrow_cuda_ipc_memory_handle_new() in other process. A #GArrowCUDAIPCMemoryHandle. The following classes provide CUDA support for Apache Arrow data. #GArrowCUDADeviceManager is the starting point. You need at least one #GArrowCUDAContext to process Apache Arrow data on NVIDIA GPU. #GArrowCUDAContext is a class to keep context for one GPU. You need to create #GArrowCUDAContext for each GPU that you want to use. You can create #GArrowCUDAContext by garrow_cuda_device_manager_get_context(). #GArrowCUDABuffer is a class for data on GPU. You can copy data on GPU to/from CPU by garrow_cuda_buffer_copy_to_host() and garrow_cuda_buffer_copy_from_host(). You can share data on GPU with other processes by garrow_cuda_buffer_export() and garrow_cuda_buffer_new_ipc(). #GArrowCUDAHostBuffer is a class for data on CPU that is directly accessible from GPU. #GArrowCUDAIPCMemoryHandle is a class to share data on GPU with other processes. You can export your data on GPU to other processes by garrow_cuda_buffer_export() and garrow_cuda_ipc_memory_handle_new(). You can import other process data on GPU by garrow_cuda_ipc_memory_handle_new() and garrow_cuda_buffer_new_ipc(). #GArrowCUDABufferInputStream is a class to read data in #GArrowCUDABuffer. #GArrowCUDABufferOutputStream is a class to write data into #GArrowCUDABuffer.