Without enabling gdrcopy, DPDK build has warnings about
unused gdrcopy functions input parameters.
This patch set them to __rte_unused .
Fixes: 24c7759 ("gpu/cuda: map GPU memory with GDRCopy")
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
Memory allocated for CPU mapping the status flag
in the communication list should be aligned to the
GPU page size, which can be different of CPU page alignment.
The GPU page size is added to the GPU info,
and is used when creating a communication list.
Fixes: 9b8cae4d99 ("gpudev: use CPU mapping in communication list")
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
To enable the gpudev rte_gpu_mem_cpu_map feature to expose
GPU memory to the CPU, the GPU CUDA driver library needs
the GDRCopy library and driver.
If DPDK is built without GDRCopy, the GPU CUDA driver returns
error if the is invoked rte_gpu_mem_cpu_map.
All the others GPU CUDA driver functionalities are not affected by
the absence of GDRCopy, thus this is an optional functionality
that can be enabled in the GPU CUDA driver.
CUDA driver documentation has been updated accordingly.
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
Enable the possibility to expose a GPU memory area and make it
accessible from the CPU.
GPU memory has to be allocated via rte_gpu_mem_alloc().
This patch allows the gpudev library to map (and unmap),
through the GPU driver, a chunk of GPU memory and to return
a memory pointer usable by the CPU to access the GPU memory area.
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
Similarly to rte_malloc, rte_gpu_mem_alloc accepts as
input the memory alignment size.
GPU driver should return GPU memory address aligned
with the input value.
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
Memory list cleanup (called by cuda_mem_free)
was not properly set the new head of the list
when deleting an entry.
Fixes: 1306a73b19 ("gpu/cuda: introduce CUDA driver")
Cc: stable@dpdk.org
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
Set correct rte_errno variable in CUDA driver
and return -rte_errno in case of error.
rte_errno values are compliant with the gpudev library documentation.
Fixes: 1306a73b19 ("gpu/cuda: introduce CUDA driver")
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
The gpudev functions free, register and unregister
return gracefully if input pointer is NULL or size 0,
as API doc was indicating no-op accepted values.
CUDA driver checks are removed because redundant
with the checks added in gpudev library.
Fixes: e818c4e2bf ("gpudev: add memory API")
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
This is the CUDA implementation of the gpudev library.
Functionalities implemented through CUDA Driver API are:
- Device probe and remove
- Manage device memory allocations
- Register/unregister external CPU memory in the device memory area
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
In heterogeneous computing system, processing is not only in the CPU.
Some tasks can be delegated to devices working in parallel.
The new library gpudev is for dealing with GPGPU computing devices
from a DPDK application running on the CPU.
The infrastructure is prepared to welcome drivers in drivers/gpu/.
Signed-off-by: Elena Agostini <eagostini@nvidia.com>
Signed-off-by: Thomas Monjalon <thomas@monjalon.net>
