4GPU: GeForce RTX 3090 の nvidia-smi と deviceQuery
October 23, 2020
24
HPCDIY-ERM1GPU4TS（こちら）に GeForce RTX 3090 を４枚実装して、nvidia-smi と deviceQuery を実行してみた。
nvidia-smi
dl@dl-machine:~$ nvidia-smi
Thu Oct 22 17:12:19 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 455.23.05 Driver Version: 455.23.05 CUDA Version: 11.1 |
|-------------------------------+----------------------+----------------------+
| 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 GeForce RTX 3090 On | 00000000:81:00.0 Off | N/A |
| 63% 57C P2 194W / 350W | 23629MiB / 24268MiB | 23% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 GeForce RTX 3090 On | 00000000:82:00.0 Off | N/A |
| 37% 38C P8 22W / 350W | 373MiB / 24268MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 2 GeForce RTX 3090 On | 00000000:C1:00.0 Off | N/A |
| 46% 43C P8 22W / 350W | 373MiB / 24268MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 3 GeForce RTX 3090 On | 00000000:C2:00.0 Off | N/A |
| 47% 44C P8 22W / 350W | 373MiB / 24268MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 2009 G /usr/lib/xorg/Xorg 4MiB |
| 0 N/A N/A 7656 C python 23621MiB |
| 1 N/A N/A 2009 G /usr/lib/xorg/Xorg 4MiB |
| 1 N/A N/A 7656 C python 365MiB |
| 2 N/A N/A 2009 G /usr/lib/xorg/Xorg 4MiB |
| 2 N/A N/A 7656 C python 365MiB |
| 3 N/A N/A 2009 G /usr/lib/xorg/Xorg 4MiB |
| 3 N/A N/A 7656 C python 365MiB |
+-----------------------------------------------------------------------------+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 2080 ti, Titan RTX は No
Quadro, Tesla は Yes
dl@dl-machine:~$ deviceQuery
deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 4 CUDA Capable device(s)
Device 0: "GeForce RTX 3090"
CUDA Driver Version / Runtime Version 11.1 / 11.1
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 24268 MBytes (25447170048 bytes)
(82) Multiprocessors, (128) CUDA Cores/MP: 10496 CUDA Cores
GPU Max Clock rate: 1695 MHz (1.70 GHz)
Memory Clock rate: 9751 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 6291456 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 / 129 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 1: "GeForce RTX 3090"
CUDA Driver Version / Runtime Version 11.1 / 11.1
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 24268 MBytes (25447170048 bytes)
(82) Multiprocessors, (128) CUDA Cores/MP: 10496 CUDA Cores
GPU Max Clock rate: 1695 MHz (1.70 GHz)
Memory Clock rate: 9751 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 6291456 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 / 130 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 2: "GeForce RTX 3090"
CUDA Driver Version / Runtime Version 11.1 / 11.1
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 24268 MBytes (25447170048 bytes)
(82) Multiprocessors, (128) CUDA Cores/MP: 10496 CUDA Cores
GPU Max Clock rate: 1695 MHz (1.70 GHz)
Memory Clock rate: 9751 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 6291456 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 / 193 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
Device 3: "GeForce RTX 3090"
CUDA Driver Version / Runtime Version 11.1 / 11.1
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 24268 MBytes (25447170048 bytes)
(82) Multiprocessors, (128) CUDA Cores/MP: 10496 CUDA Cores
GPU Max Clock rate: 1695 MHz (1.70 GHz)
Memory Clock rate: 9751 Mhz
Memory Bus Width: 384-bit
L2 Cache Size: 6291456 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 / 194 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
> Peer access from GeForce RTX 3090 (GPU0) -> GeForce RTX 3090 (GPU1) : No
> Peer access from GeForce RTX 3090 (GPU0) -> GeForce RTX 3090 (GPU2) : No
> Peer access from GeForce RTX 3090 (GPU0) -> GeForce RTX 3090 (GPU3) : No
> Peer access from GeForce RTX 3090 (GPU1) -> GeForce RTX 3090 (GPU0) : No
> Peer access from GeForce RTX 3090 (GPU1) -> GeForce RTX 3090 (GPU2) : No
> Peer access from GeForce RTX 3090 (GPU1) -> GeForce RTX 3090 (GPU3) : No
> Peer access from GeForce RTX 3090 (GPU2) -> GeForce RTX 3090 (GPU0) : No
> Peer access from GeForce RTX 3090 (GPU2) -> GeForce RTX 3090 (GPU1) : No
> Peer access from GeForce RTX 3090 (GPU2) -> GeForce RTX 3090 (GPU3) : No
> Peer access from GeForce RTX 3090 (GPU3) -> GeForce RTX 3090 (GPU0) : No
> Peer access from GeForce RTX 3090 (GPU3) -> GeForce RTX 3090 (GPU1) : No
> Peer access from GeForce RTX 3090 (GPU3) -> GeForce RTX 3090 (GPU2) : No
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.1, CUDA Runtime Version = 11.1, NumDevs = 4
Result = PASS
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