diff options
Diffstat (limited to 'xmrstak/backend/nvidia/nvcc_code')
| -rw-r--r-- | xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu | 20 |
1 files changed, 20 insertions, 0 deletions
diff --git a/xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu b/xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu index b161258..e18532f 100644 --- a/xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu +++ b/xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu @@ -364,6 +364,26 @@ extern "C" int cuda_get_deviceinfo(nvid_ctx* ctx) hashMemSize = AEON_MEMORY; } +#ifdef WIN32 + /* We use in windows bfactor (split slow kernel into smaller parts) to avoid + * that windows is killing long running kernel. + * In the case there is already memory used on the gpu than we + * assume that other application are running between the split kernel, + * this can result into TLB memory flushes and can strongly reduce the performance + * and the result can be that windows is killing the miner. + * Be reducing maxMemUsage we try to avoid this effect. + */ + size_t usedMem = totalMemory - freeMemory; + if(usedMem >= maxMemUsage) + { + printf("WARNING: NVIDIA GPU %d: already %s MiB memory in use, skip GPU.\n", + ctx->device_id, + std::to_string(usedMem/byteToMiB).c_str()); + } + else + maxMemUsage -= usedMem; + +#endif // keep 128MiB memory free (value is randomly chosen) // 200byte are meta data memory (result nonce, ...) size_t availableMem = freeMemory - (128u * byteToMiB) - 200u; |
