2GPU: GeForce RTX 4090 の nvidia-smi と deviceQuery
January 26, 2023
93
HPCDIY-ERMGPU8R4S（こちら）に GeForce RTX 4090 を 2 枚実装して、nvidia-smi と deviceQuery を実行してみました。
nvidia-smi
(base) dl@dl-machine:~$ nvidia-smi
Thu Jan 26 13:44:47 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.60.13 Driver Version: 525.60.13 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... On | 00000000:25:00.0 Off | Off |
| 33% 30C P8 19W / 450W | 6MiB / 24564MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce ... On | 00000000:41:00.0 Off | Off |
| 32% 28C P8 20W / 450W | 6MiB / 24564MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1534 G /usr/lib/xorg/Xorg 4MiB |
| 1 N/A N/A 1534 G /usr/lib/xorg/Xorg 4MiB |
+-----------------------------------------------------------------------------+
(base) dl@dl-machine:~$
deviceQuery
最後に表示される Peer access に注目してください。これが No だと、GPUが多い場合（>4くらい）並列性能が出ないと言われています。
ちなみに GeForce RTX 3090, GeForce RTX 2080 ti, Titan RTX は No
Quadro, Tesla は Yes
GeForce RTX 4090はYesとなって驚きの結果です。並列性能が期待できるかもしれません。
(base) dl@dl-machine:~$ deviceQuery
deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 2 CUDA Capable device(s)
Device 0: "NVIDIA GeForce RTX 4090"
CUDA Driver Version / Runtime Version 12.0 / 11.2
CUDA Capability Major/Minor version number: 8.9
Total amount of global memory: 24217 MBytes (25393692672 bytes)
MapSMtoCores for SM 8.9 is undefined. Default to use 128 Cores/SM
MapSMtoCores for SM 8.9 is undefined. Default to use 128 Cores/SM
(128) Multiprocessors, (128) CUDA Cores/MP: 16384 CUDA Cores
GPU Max Clock rate: 2520 MHz (2.52 GHz)
Memory Clock rate: 10501 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 75497472 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 102400 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 37 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 1: "NVIDIA GeForce RTX 4090"
CUDA Driver Version / Runtime Version 12.0 / 11.2
CUDA Capability Major/Minor version number: 8.9
Total amount of global memory: 24217 MBytes (25393692672 bytes)
MapSMtoCores for SM 8.9 is undefined. Default to use 128 Cores/SM
MapSMtoCores for SM 8.9 is undefined. Default to use 128 Cores/SM
(128) Multiprocessors, (128) CUDA Cores/MP: 16384 CUDA Cores
GPU Max Clock rate: 2520 MHz (2.52 GHz)
Memory Clock rate: 10501 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 75497472 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 102400 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 65 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
> Peer access from NVIDIA GeForce RTX 4090 (GPU0) -> NVIDIA GeForce RTX 4090 (GPU1) : Yes
> Peer access from NVIDIA GeForce RTX 4090 (GPU1) -> NVIDIA GeForce RTX 4090 (GPU0) : Yes
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 12.0, CUDA Runtime Version = 11.2, NumDevs = 2
Result = PASS
(base) dl@dl-machine:~$
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