X-Git-Url: https://git.kernel.dk/?p=fio.git;a=blobdiff_plain;f=memory.c;h=22a7f5ddde6c1dc785d9a6f37ad4a16d53cb38ec;hp=91241175978ec1ce32310c9c58fef6c38f79da71;hb=76e4bb4f68641458c90b490a9481cf148c10e002;hpb=9b87f09b1d3cac320c2da5758c1e74d4b4c0fadd diff --git a/memory.c b/memory.c index 91241175..22a7f5dd 100644 --- a/memory.c +++ b/memory.c @@ -33,13 +33,13 @@ int fio_pin_memory(struct thread_data *td) dprint(FD_MEM, "pinning %llu bytes\n", td->o.lockmem); /* - * Don't allow mlock of more than real_mem-128MB + * Don't allow mlock of more than real_mem-128MiB */ phys_mem = os_phys_mem(); if (phys_mem) { if ((td->o.lockmem + 128 * 1024 * 1024) > phys_mem) { td->o.lockmem = phys_mem - 128 * 1024 * 1024; - log_info("fio: limiting mlocked memory to %lluMB\n", + log_info("fio: limiting mlocked memory to %lluMiB\n", td->o.lockmem >> 20); } } @@ -207,6 +207,78 @@ static void free_mem_malloc(struct thread_data *td) free(td->orig_buffer); } +static int alloc_mem_cudamalloc(struct thread_data *td, size_t total_mem) +{ +#ifdef CONFIG_CUDA + CUresult ret; + char name[128]; + + ret = cuInit(0); + if (ret != CUDA_SUCCESS) { + log_err("fio: failed initialize cuda driver api\n"); + return 1; + } + + ret = cuDeviceGetCount(&td->gpu_dev_cnt); + if (ret != CUDA_SUCCESS) { + log_err("fio: failed get device count\n"); + return 1; + } + dprint(FD_MEM, "found %d GPU devices\n", td->gpu_dev_cnt); + + if (td->gpu_dev_cnt == 0) { + log_err("fio: no GPU device found. " + "Can not perform GPUDirect RDMA.\n"); + return 1; + } + + td->gpu_dev_id = td->o.gpu_dev_id; + ret = cuDeviceGet(&td->cu_dev, td->gpu_dev_id); + if (ret != CUDA_SUCCESS) { + log_err("fio: failed get GPU device\n"); + return 1; + } + + ret = cuDeviceGetName(name, sizeof(name), td->gpu_dev_id); + if (ret != CUDA_SUCCESS) { + log_err("fio: failed get device name\n"); + return 1; + } + dprint(FD_MEM, "dev_id = [%d], device name = [%s]\n", \ + td->gpu_dev_id, name); + + ret = cuCtxCreate(&td->cu_ctx, CU_CTX_MAP_HOST, td->cu_dev); + if (ret != CUDA_SUCCESS) { + log_err("fio: failed to create cuda context: %d\n", ret); + return 1; + } + + ret = cuMemAlloc(&td->dev_mem_ptr, total_mem); + if (ret != CUDA_SUCCESS) { + log_err("fio: cuMemAlloc %zu bytes failed\n", total_mem); + return 1; + } + td->orig_buffer = (void *) td->dev_mem_ptr; + + dprint(FD_MEM, "cudaMalloc %llu %p\n", \ + (unsigned long long) total_mem, td->orig_buffer); + return 0; +#else + return -EINVAL; +#endif +} + +static void free_mem_cudamalloc(struct thread_data *td) +{ +#ifdef CONFIG_CUDA + if (td->dev_mem_ptr != NULL) + cuMemFree(td->dev_mem_ptr); + + if (cuCtxDestroy(td->cu_ctx) != CUDA_SUCCESS) + log_err("fio: failed to destroy cuda context\n"); +#endif +} + /* * Set up the buffer area we need for io. */ @@ -246,6 +318,8 @@ int allocate_io_mem(struct thread_data *td) else if (td->o.mem_type == MEM_MMAP || td->o.mem_type == MEM_MMAPHUGE || td->o.mem_type == MEM_MMAPSHARED) ret = alloc_mem_mmap(td, total_mem); + else if (td->o.mem_type == MEM_CUDA_MALLOC) + ret = alloc_mem_cudamalloc(td, total_mem); else { log_err("fio: bad mem type: %d\n", td->o.mem_type); ret = 1; @@ -275,6 +349,8 @@ void free_io_mem(struct thread_data *td) else if (td->o.mem_type == MEM_MMAP || td->o.mem_type == MEM_MMAPHUGE || td->o.mem_type == MEM_MMAPSHARED) free_mem_mmap(td, total_mem); + else if (td->o.mem_type == MEM_CUDA_MALLOC) + free_mem_cudamalloc(td); else log_err("Bad memory type %u\n", td->o.mem_type);