>From 8b603e6a9aa7bf1c5e89bad49f0f4a1b902dd299 Mon Sep 17 00:00:00 2001
From: Elena Agostini <eagost...@nvidia.com>
Date: Wed, 15 Sep 2021 17:04:53 +0200
Subject: [PATCH] gpu/cuda: introduce CUDA driver
This is the CUDA implementation of the gpudev library.
Funcitonalities 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 <eagost...@nvidia.com>
---
drivers/gpu/cuda/cuda.c | 751 +++++++++++++++++++++++++++++++++++
drivers/gpu/cuda/meson.build | 30 ++
drivers/gpu/cuda/version.map | 3 +
drivers/gpu/meson.build | 2 +-
4 files changed, 785 insertions(+), 1 deletion(-)
create mode 100644 drivers/gpu/cuda/cuda.c
create mode 100644 drivers/gpu/cuda/meson.build
create mode 100644 drivers/gpu/cuda/version.map
diff --git a/drivers/gpu/cuda/cuda.c b/drivers/gpu/cuda/cuda.c
new file mode 100644
index 0000000000..202f0a0c0c
--- /dev/null
+++ b/drivers/gpu/cuda/cuda.c
@@ -0,0 +1,751 @@
+/* SPDX-License-Identifier: BSD-3-Clause
+ * Copyright (c) 2021 NVIDIA Corporation & Affiliates
+*/
+
+#include <rte_common.h>
+#include <rte_log.h>
+#include <rte_malloc.h>
+#include <rte_errno.h>
+#include <rte_pci.h>
+#include <rte_bus_pci.h>
+#include <rte_byteorder.h>
+#include <rte_dev.h>
+
+#include <gpudev_driver.h>
+#include <cuda.h>
+
+/* NVIDIA GPU vendor */
+#define NVIDIA_GPU_VENDOR_ID (0x10de)
+
+/* NVIDIA GPU device IDs */
+#define NVIDIA_GPU_A100_40GB_DEVICE_ID (0x20f1)
+#define NVIDIA_GPU_V100_32GB_DEVICE_ID (0x1db6)
+
+#define CUDA_MAX_ALLOCATION_NUM 512
+
+#define GPU_PAGE_SHIFT 16
+#define GPU_PAGE_SIZE (1UL << GPU_PAGE_SHIFT)
+
+RTE_LOG_REGISTER_DEFAULT(gpu_logtype, NOTICE);
+
+/** Helper macro for logging */
+#define rte_gpu_log(level, fmt, ...) \
+ rte_log(RTE_LOG_ ## level, gpu_logtype, fmt "\n", ##__VA_ARGS__)
+
+#define rte_gpu_log_debug(fmt, ...) \
+ rte_gpu_log(DEBUG, RTE_STR(__LINE__) ":%s() " fmt, __func__, \
+ ##__VA_ARGS__)
+
+/* NVIDIA GPU address map */
+static struct rte_pci_id pci_id_cuda_map[] = {
+ {
+ RTE_PCI_DEVICE(NVIDIA_GPU_VENDOR_ID,
+ NVIDIA_GPU_A100_40GB_DEVICE_ID)
+ },
+ {
+ RTE_PCI_DEVICE(NVIDIA_GPU_VENDOR_ID,
+ NVIDIA_GPU_V100_32GB_DEVICE_ID)
+ },
+ /* {.device_id = 0}, ?? */
+};
+
+/* Device private info */
+struct cuda_info {
+ char gpu_name[RTE_DEV_NAME_MAX_LEN];
+ CUdevice cu_dev;
+};
+
+/* Type of memory allocated by CUDA driver */
+enum mem_type {
+ GPU_MEM = 0,
+ CPU_REGISTERED,
+ GPU_REGISTERED /* Not used yet */
+};
+
+/* key associated to a memory address */
+typedef uintptr_t ptr_key;
+
+/* Single entry of the memory list */
+struct mem_entry {
+ CUdeviceptr ptr_d;
+ void * ptr_h;
+ size_t size;
+ struct rte_gpu *dev;
+ CUcontext ctx;
+ ptr_key pkey;
+ enum mem_type mtype;
+ struct mem_entry * prev;
+ struct mem_entry * next;
+};
+
+struct mem_entry * mem_alloc_list_head = NULL;
+struct mem_entry * mem_alloc_list_tail = NULL;
+uint32_t mem_alloc_list_last_elem = 0;
+
+/* Generate a key from a memory pointer */
+static ptr_key
+get_hash_from_ptr(void * ptr)
+{
+ return (uintptr_t) ptr;
+}
+
+static uint32_t
+mem_list_count_item(void)
+{
+ return mem_alloc_list_last_elem;
+}
+
+/* Initiate list of memory allocations if not done yet */
+static struct mem_entry *
+mem_list_add_item(void)
+{
+ /* Initiate list of memory allocations if not done yet */
+ if(mem_alloc_list_head == NULL)
+ {
+ mem_alloc_list_head = rte_zmalloc(NULL, sizeof(struct
mem_entry), RTE_CACHE_LINE_SIZE);
+ if (mem_alloc_list_head == NULL) {
+ rte_gpu_log(ERR, "Failed to allocate memory for memory
list.\n");
+ return NULL;
+ }
+
+ mem_alloc_list_head->next = NULL;
+ mem_alloc_list_head->prev = NULL;
+ mem_alloc_list_tail = mem_alloc_list_head;
+ }
+ else
+ {
+ struct mem_entry * mem_alloc_list_cur = rte_zmalloc(NULL,
sizeof(struct mem_entry), RTE_CACHE_LINE_SIZE);
+ if (mem_alloc_list_cur == NULL) {
+ rte_gpu_log(ERR, "Failed to allocate memory for memory
list.\n");
+ return NULL;
+ }
+
+ mem_alloc_list_tail->next = mem_alloc_list_cur;
+ mem_alloc_list_cur->prev = mem_alloc_list_tail;
+ mem_alloc_list_tail = mem_alloc_list_tail->next;
+ mem_alloc_list_tail->next = NULL;
+ }
+
+ mem_alloc_list_last_elem++;
+
+ return mem_alloc_list_tail;
+}
+
+static struct mem_entry *
+mem_list_find_item(ptr_key pk)
+{
+ struct mem_entry * mem_alloc_list_cur = NULL;
+
+ if( mem_alloc_list_head == NULL )
+ {
+ rte_gpu_log(ERR, "Memory list doesn't exist\n");
+ return NULL;
+ }
+
+ if(mem_list_count_item() == 0)
+ {
+ rte_gpu_log(ERR, "No items in memory list\n");
+ return NULL;
+ }
+
+ mem_alloc_list_cur = mem_alloc_list_head;
+
+ while(mem_alloc_list_cur != NULL)
+ {
+ if(mem_alloc_list_cur->pkey == pk)
+ return mem_alloc_list_cur;
+ mem_alloc_list_cur = mem_alloc_list_cur->next;
+ }
+
+ return mem_alloc_list_cur;
+}
+
+static int
+mem_list_del_item(ptr_key pk)
+{
+ struct mem_entry * mem_alloc_list_cur = NULL;
+
+ mem_alloc_list_cur = mem_list_find_item(pk);
+ if(mem_alloc_list_cur == NULL)
+ return -EINVAL;
+
+ /* if key is in head */
+ if(mem_alloc_list_cur->prev == NULL)
+ mem_alloc_list_head = mem_alloc_list_cur->next;
+ else
+ {
+ mem_alloc_list_cur->prev->next = mem_alloc_list_cur->next;
+ if(mem_alloc_list_cur->next != NULL)
+ mem_alloc_list_cur->next->prev =
mem_alloc_list_cur->prev;
+ }
+
+ rte_free(mem_alloc_list_cur);
+
+ mem_alloc_list_last_elem--;
+
+ return 0;
+}
+
+static int
+cuda_dev_info_get(struct rte_gpu *dev, struct rte_gpu_info *info)
+{
+ int ret = 0;
+ CUresult res;
+ struct rte_gpu_info parent_info;
+ CUexecAffinityParam affinityPrm;
+ const char * err_string;
+ struct cuda_info * private;
+ CUcontext current_ctx;
+ CUcontext input_ctx;
+
+ if(dev == NULL)
+ return -EINVAL;
+
+ /* Child initialization time probably called by rte_gpu_add_child() */
+ if(
+ dev->mpshared->info.parent != RTE_GPU_ID_NONE &&
+ dev->mpshared->dev_private == NULL
+ )
+ {
+ /* Store current ctx */
+ res = cuCtxGetCurrent(¤t_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuCtxGetCurrent failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ /* Set child ctx as current ctx */
+ input_ctx = (CUcontext)dev->mpshared->info.context;
+ res = cuCtxSetCurrent(input_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_dev_info_get cuCtxSetCurrent
input failed with %s.\n", err_string);
+
+ return -1;
+ }
+
+ /*
+ * Ctx capacity info
+ */
+
+ /* MPS compatible */
+ res = cuCtxGetExecAffinity(&affinityPrm,
CU_EXEC_AFFINITY_TYPE_SM_COUNT);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuCtxGetExecAffinity failed with
%s.\n", err_string);
+ }
+ dev->mpshared->info.processor_count =
(uint32_t)affinityPrm.param.smCount.val;
+
+ ret = rte_gpu_info_get(dev->mpshared->info.parent,
&parent_info);
+ if (ret)
+ return -ENODEV;
+ dev->mpshared->info.total_memory = parent_info.total_memory;
+
+ /*
+ * GPU Device private info
+ */
+ dev->mpshared->dev_private = rte_zmalloc(NULL, sizeof(struct
cuda_info), RTE_CACHE_LINE_SIZE);
+ if (dev->mpshared->dev_private == NULL) {
+ rte_gpu_log(ERR, "Failed to allocate memory for GPU
process private.\n");
+
+ return -1;
+ }
+
+ private = (struct cuda_info *)dev->mpshared->dev_private;
+
+ res = cuCtxGetDevice(&(private->cu_dev));
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuCtxGetDevice failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ res = cuDeviceGetName(private->gpu_name, RTE_DEV_NAME_MAX_LEN,
private->cu_dev);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDeviceGetName failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ /* Restore original ctx as current ctx */
+ res = cuCtxSetCurrent(current_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_dev_info_get cuCtxSetCurrent
current failed with %s.\n", err_string);
+
+ return -1;
+ }
+ }
+
+ *info = dev->mpshared->info;
+
+ return 0;
+}
+
+/*
+ * GPU Memory
+ */
+
+static int
+cuda_mem_alloc(struct rte_gpu * dev, size_t size, void ** ptr)
+{
+ CUresult res;
+ const char * err_string;
+ CUcontext current_ctx;
+ CUcontext input_ctx;
+ unsigned int flag = 1;
+
+ if(dev == NULL || size == 0)
+ return -EINVAL;
+
+ /* Store current ctx */
+ res = cuCtxGetCurrent(¤t_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuCtxGetCurrent failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ /* Set child ctx as current ctx */
+ input_ctx = (CUcontext)dev->mpshared->info.context;
+ res = cuCtxSetCurrent(input_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_mem_alloc cuCtxSetCurrent input failed
with %s.\n", err_string);
+
+ return -1;
+ }
+
+ /* Get next memory list item */
+ mem_alloc_list_tail = mem_list_add_item();
+ if(mem_alloc_list_tail == NULL)
+ return -ENOMEM;
+
+ /* Allocate memory */
+ mem_alloc_list_tail->size = size;
+ res = cuMemAlloc(&(mem_alloc_list_tail->ptr_d),
mem_alloc_list_tail->size);
+ if (CUDA_SUCCESS != res) {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_mem_alloc cuCtxSetCurrent current failed
with %s.\n", err_string);
+
+ return -1;
+ }
+
+ /* GPUDirect RDMA attribute required */
+ res = cuPointerSetAttribute(&flag, CU_POINTER_ATTRIBUTE_SYNC_MEMOPS,
mem_alloc_list_tail->ptr_d);
+ if (CUDA_SUCCESS != res) {
+ rte_gpu_log(ERR, "Could not set SYNC MEMOP attribute for GPU
memory at %llx , err %d\n", mem_alloc_list_tail->ptr_d, res);
+ return -1;
+ }
+
+ mem_alloc_list_tail->pkey = get_hash_from_ptr((void *)
mem_alloc_list_tail->ptr_d);
+ mem_alloc_list_tail->ptr_h = NULL;
+ mem_alloc_list_tail->size = size;
+ mem_alloc_list_tail->dev = dev;
+ mem_alloc_list_tail->ctx = (CUcontext)dev->mpshared->info.context;
+ mem_alloc_list_tail->mtype = GPU_MEM;
+
+ /* Restore original ctx as current ctx */
+ res = cuCtxSetCurrent(current_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_mem_alloc cuCtxSetCurrent current failed
with %s.\n", err_string);
+
+ return -1;
+ }
+
+ *ptr = (void*) mem_alloc_list_tail->ptr_d;
+
+ return 0;
+}
+
+static int
+cuda_mem_register(struct rte_gpu * dev, size_t size, void * ptr)
+{
+ CUresult res;
+ const char * err_string;
+ CUcontext current_ctx;
+ CUcontext input_ctx;
+ unsigned int flag = 1;
+ int use_ptr_h = 0;
+
+ if(dev == NULL || size == 0 || ptr == NULL)
+ return -EINVAL;
+
+ /* Store current ctx */
+ res = cuCtxGetCurrent(¤t_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuCtxGetCurrent failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ /* Set child ctx as current ctx */
+ input_ctx = (CUcontext)dev->mpshared->info.context;
+ res = cuCtxSetCurrent(input_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_mem_register cuCtxSetCurrent input
failed with %s.\n", err_string);
+
+ return -1;
+ }
+
+ /* Get next memory list item */
+ mem_alloc_list_tail = mem_list_add_item();
+ if(mem_alloc_list_tail == NULL)
+ return -ENOMEM;
+
+ /* Allocate memory */
+ mem_alloc_list_tail->size = size;
+ mem_alloc_list_tail->ptr_h = ptr;
+
+ res = cuMemHostRegister(mem_alloc_list_tail->ptr_h,
mem_alloc_list_tail->size, CU_MEMHOSTREGISTER_PORTABLE |
CU_MEMHOSTREGISTER_DEVICEMAP);
+ if (CUDA_SUCCESS != res) {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_mem_register cuMemHostRegister failed
with %s ptr %p size %zd.\n",
+ err_string,
mem_alloc_list_tail->ptr_h, mem_alloc_list_tail->size
+ );
+
+ return -1;
+ }
+
+ res = cuDeviceGetAttribute(&(use_ptr_h),
+
CU_DEVICE_ATTRIBUTE_CAN_USE_HOST_POINTER_FOR_REGISTERED_MEM,
+
((struct cuda_info *)(dev->mpshared->dev_private))->cu_dev
+ );
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDeviceGetAttribute failed with %s.\n",
+ err_string
+ );
+
+ return -1;
+ }
+
+ if(use_ptr_h == 0)
+ {
+ res = cuMemHostGetDevicePointer(&(mem_alloc_list_tail->ptr_d),
mem_alloc_list_tail->ptr_h, 0);
+ if (CUDA_SUCCESS != res) {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuMemHostGetDevicePointer failed with
%s.\n", err_string);
+
+ return -1;
+ }
+
+ if((uintptr_t) mem_alloc_list_tail->ptr_d != (uintptr_t)
mem_alloc_list_tail->ptr_h)
+ {
+ rte_gpu_log(ERR, "Host input pointer is different wrt
GPU registered pointer\n");
+ return -1;
+ }
+ }
+ else
+ mem_alloc_list_tail->ptr_d = (CUdeviceptr)
mem_alloc_list_tail->ptr_h;
+
+ /* GPUDirect RDMA attribute required */
+ res = cuPointerSetAttribute(&flag, CU_POINTER_ATTRIBUTE_SYNC_MEMOPS,
mem_alloc_list_tail->ptr_d);
+ if (CUDA_SUCCESS != res) {
+ rte_gpu_log(ERR, "Could not set SYNC MEMOP attribute for GPU
memory at %llx , err %d\n", mem_alloc_list_tail->ptr_d, res);
+ return -1;
+ }
+
+ mem_alloc_list_tail->pkey = get_hash_from_ptr((void *)
mem_alloc_list_tail->ptr_h);
+ mem_alloc_list_tail->size = size;
+ mem_alloc_list_tail->dev = dev;
+ mem_alloc_list_tail->ctx = (CUcontext)dev->mpshared->info.context;
+ mem_alloc_list_tail->mtype = CPU_REGISTERED;
+
+ /* Restore original ctx as current ctx */
+ res = cuCtxSetCurrent(current_ctx);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuda_mem_register cuCtxSetCurrent current
failed with %s.\n", err_string);
+
+ return -1;
+ }
+
+ return 0;
+}
+
+static int
+cuda_mem_free(struct rte_gpu * dev, void * ptr)
+{
+ CUresult res;
+ struct mem_entry * mem_item;
+ const char * err_string;
+ ptr_key hk;
+
+ if(dev == NULL || ptr == NULL)
+ return -EINVAL;
+
+ hk = get_hash_from_ptr((void *) ptr);
+
+ mem_item = mem_list_find_item(hk);
+ if(mem_item == NULL)
+ {
+ rte_gpu_log(ERR, "Memory address 0x%p not found in driver
memory\n", ptr);
+ return -1;
+ }
+
+ if(mem_item->mtype == GPU_MEM)
+ {
+ res = cuMemFree(mem_item->ptr_d);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuMemFree current failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ return mem_list_del_item(hk);
+
+ }
+ else
+ {
+ rte_gpu_log(ERR, "Memory type %d not supported\n",
mem_item->mtype);
+ return -1;
+ }
+
+ return 0;
+}
+
+static int
+cuda_mem_unregister(struct rte_gpu * dev, void * ptr)
+{
+ CUresult res;
+ struct mem_entry * mem_item;
+ const char * err_string;
+ ptr_key hk;
+
+ if(dev == NULL || ptr == NULL)
+ return -EINVAL;
+
+ hk = get_hash_from_ptr((void *) ptr);
+
+ mem_item = mem_list_find_item(hk);
+ if(mem_item == NULL)
+ {
+ rte_gpu_log(ERR, "Memory address 0x%p not nd in driver
memory\n", ptr);
+ return -1;
+ }
+
+ if(mem_item->mtype == CPU_REGISTERED)
+ {
+ res = cuMemHostUnregister(ptr);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuMemHostUnregister current failed
with %s.\n", err_string);
+
+ return -1;
+ }
+
+ return mem_list_del_item(hk);
+ }
+ else
+ {
+ rte_gpu_log(ERR, "Memory type %d not supported\n",
mem_item->mtype);
+ return -1;
+ }
+
+ return 0;
+}
+
+static int
+cuda_dev_close(struct rte_gpu * dev)
+{
+ if (dev == NULL)
+ return -EINVAL;
+
+ rte_free(dev->mpshared->dev_private);
+
+ return 0;
+}
+
+static int
+cuda_gpu_probe(__rte_unused struct rte_pci_driver *pci_drv, struct
rte_pci_device *pci_dev)
+{
+ struct rte_gpu *dev = NULL;
+ CUresult res;
+ CUdevice cu_dev_id;
+ CUcontext pctx;
+ char dev_name[RTE_DEV_NAME_MAX_LEN];
+ const char * err_string;
+ int processor_count = 0;
+ struct cuda_info * private;
+
+ if (pci_dev == NULL) {
+ rte_gpu_log(ERR, "NULL PCI device");
+ return -EINVAL;
+ }
+
+ rte_pci_device_name(&pci_dev->addr, dev_name, sizeof(dev_name));
+
+ /* Allocate memory to be used privately by drivers */
+ dev = rte_gpu_allocate(pci_dev->device.name);
+ if (dev == NULL)
+ return -ENODEV;
+
+ /* Fill HW specific part of device structure */
+ dev->device = &pci_dev->device;
+ dev->mpshared->info.numa_node = pci_dev->device.numa_node;
+
+ /*
+ * GPU Device init
+ */
+
+ /*
+ * Required to initialize the CUDA Driver.
+ * Multiple calls of cuInit() will return immediately
+ * without making any relevant change
+ */
+ cuInit(0);
+
+ /* Get NVIDIA GPU Device descriptor */
+ res = cuDeviceGetByPCIBusId(&cu_dev_id, dev->device->name);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDeviceGetByPCIBusId name %s failed with %d:
%s.\n",
+ dev->device->name, res, err_string
+ );
+
+ return -1;
+ }
+
+ res = cuDevicePrimaryCtxRetain(&pctx, cu_dev_id);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDevicePrimaryCtxRetain name %s failed with
%d: %s.\n",
+ dev->device->name, res, err_string
+ );
+
+ return -1;
+ }
+
+ dev->mpshared->info.context = (uint64_t) pctx;
+
+ /*
+ * GPU Device generic info
+ */
+
+ /* Processor count */
+ res = cuDeviceGetAttribute(&(processor_count),
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, cu_dev_id);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDeviceGetAttribute failed with %s.\n",
+ err_string
+ );
+
+ return -1;
+ }
+ dev->mpshared->info.processor_count = (uint32_t)processor_count;
+
+ /* Total memory */
+ res = cuDeviceTotalMem(&dev->mpshared->info.total_memory, cu_dev_id);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDeviceTotalMem failed with %s.\n",
+ err_string
+ );
+
+ return -1;
+ }
+
+ /*
+ * GPU Device private info
+ */
+ dev->mpshared->dev_private = rte_zmalloc(NULL, sizeof(struct
cuda_info), RTE_CACHE_LINE_SIZE);
+ if (dev->mpshared->dev_private == NULL) {
+ rte_gpu_log(ERR, "Failed to allocate memory for GPU process
private.\n");
+
+ return -1;
+ }
+
+ private = (struct cuda_info *)dev->mpshared->dev_private;
+ private->cu_dev = cu_dev_id;
+ res = cuDeviceGetName(private->gpu_name, RTE_DEV_NAME_MAX_LEN,
cu_dev_id);
+ if(CUDA_SUCCESS != res)
+ {
+ cuGetErrorString(res, &(err_string));
+ rte_gpu_log(ERR, "cuDeviceGetName failed with %s.\n",
err_string);
+
+ return -1;
+ }
+
+ dev->ops.mem_alloc = cuda_mem_alloc;
+ dev->ops.mem_free = cuda_mem_free;
+ dev->ops.mem_register = cuda_mem_register;
+ dev->ops.mem_unregister = cuda_mem_unregister;
+ dev->ops.dev_info_get = cuda_dev_info_get;
+ dev->ops.dev_close = cuda_dev_close;
+
+ rte_gpu_complete_new(dev);
+
+ rte_gpu_log_debug("dev id = %u name = %s\n",
dev->mpshared->info.dev_id, private->gpu_name);
+
+ return 0;
+}
+
+static int
+cuda_gpu_remove(struct rte_pci_device *pci_dev)
+{
+ struct rte_gpu *dev;
+ int ret;
+ uint8_t gpu_id;
+
+ if (pci_dev == NULL)
+ return -EINVAL;
+
+ dev = rte_gpu_get_by_name(pci_dev->device.name);
+ if (dev == NULL) {
+ rte_gpu_log(ERR,
+ "Couldn't find HW dev \"%s\" to uninitialise
it",
+ pci_dev->device.name);
+ return -ENODEV;
+ }
+ gpu_id = dev->mpshared->info.dev_id;
+
+ /* release dev from library */
+ ret = rte_gpu_release(dev);
+ if (ret)
+ rte_gpu_log(ERR, "Device %i failed to uninit: %i", gpu_id, ret);
+
+ rte_gpu_log_debug("Destroyed dev = %u", gpu_id);
+
+ return 0;
+}
+
+static struct rte_pci_driver rte_cuda_driver = {
+ .id_table = pci_id_cuda_map,
+ .drv_flags = RTE_PCI_DRV_WC_ACTIVATE,
+ .probe = cuda_gpu_probe,
+ .remove = cuda_gpu_remove,
+};
+
+RTE_PMD_REGISTER_PCI(gpu_cuda, rte_cuda_driver);
+RTE_PMD_REGISTER_PCI_TABLE(gpu_cuda, pci_id_cuda_map);
+RTE_PMD_REGISTER_KMOD_DEP(gpu_cuda, "* nvidia & (nv_peer_mem | nvpeer_mem)");
+
diff --git a/drivers/gpu/cuda/meson.build b/drivers/gpu/cuda/meson.build
new file mode 100644
index 0000000000..53e40e6832
--- /dev/null
+++ b/drivers/gpu/cuda/meson.build
@@ -0,0 +1,30 @@
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2021 NVIDIA Corporation & Affiliates
+
+if not is_linux
+ build = false
+ reason = 'only supported on Linux'
+endif
+
+# cuda_dep = dependency('cuda-11.1', required: true, version : '>=11.1',
method: 'pkg-config')
+# if not cuda_dep.found()
+# build = false
+# reason = 'missing dependency, "CUDA"'
+# subdir_done()
+# endif
+# ext_deps += cuda_dep
+
+cuda_dep = dependency('cuda', version : '>=11', modules: ['cuda'])
+ext_deps += cuda_dep
+
+# cudart_dep = dependency('cudart-11.1', required: true, version : '>=11.1',
method: 'pkg-config')
+# if not cudart_dep.found()
+# build = false
+# reason = 'missing dependency, "CUDA RT"'
+# subdir_done()
+# endif
+# ext_deps += cudart_dep
+
+deps += ['gpudev','pci','bus_pci', 'hash']
+sources = files('cuda.c')
+# headers = files('header.h')
diff --git a/drivers/gpu/cuda/version.map b/drivers/gpu/cuda/version.map
new file mode 100644
index 0000000000..4a76d1d52d
--- /dev/null
+++ b/drivers/gpu/cuda/version.map
@@ -0,0 +1,3 @@
+DPDK_21 {
+ local: *;
+};
diff --git a/drivers/gpu/meson.build b/drivers/gpu/meson.build
index e51ad3381b..601bedcd61 100644
--- a/drivers/gpu/meson.build
+++ b/drivers/gpu/meson.build
@@ -1,4 +1,4 @@
# SPDX-License-Identifier: BSD-3-Clause
# Copyright (c) 2021 NVIDIA Corporation & Affiliates
-drivers = []
+drivers = [ 'cuda' ]
--
2.21.1 (Apple Git-122.3)
