chibi@20-04:~$ nvidia-smi Wed Oct 13 04:44:14 2021 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 | |-------------------------------+----------------------+----------------------+ | 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 TITAN RTX On | 00000000:81:00.0 On | N/A | | 41% 38C P8 34W / 280W | 265MiB / 24217MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ | 1 NVIDIA TITAN RTX On | 00000000:82:00.0 Off | N/A | | 41% 33C P8 9W / 280W | 5MiB / 24220MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 1644 G /usr/lib/xorg/Xorg 103MiB | | 0 N/A N/A 1942 G /usr/bin/gnome-shell 160MiB | | 1 N/A N/A 1644 G /usr/lib/xorg/Xorg 4MiB | +-----------------------------------------------------------------------------+ chibi@20-04:~$ nvidia-smi nvlink -c GPU 0: NVIDIA TITAN RTX (UUID: GPU-5a71d61e-f130-637a-b33d-4df555b0ed88) Link 0, P2P is supported: true Link 0, Access to system memory supported: true Link 0, P2P atomics supported: true Link 0, System memory atomics supported: true Link 0, SLI is supported: true Link 0, Link is supported: false Link 1, P2P is supported: true Link 1, Access to system memory supported: true Link 1, P2P atomics supported: true Link 1, System memory atomics supported: true Link 1, SLI is supported: true Link 1, Link is supported: false GPU 1: NVIDIA TITAN RTX (UUID: GPU-7fb51c1d-c1e7-35cc-aad7-66971f05ddb7) Link 0, P2P is supported: true Link 0, Access to system memory supported: true Link 0, P2P atomics supported: true Link 0, System memory atomics supported: true Link 0, SLI is supported: true Link 0, Link is supported: false Link 1, P2P is supported: true Link 1, Access to system memory supported: true Link 1, P2P atomics supported: true Link 1, System memory atomics supported: true Link 1, SLI is supported: true Link 1, Link is supported: false chibi@20-04:~$ cuda-install-samples-11.4.sh ~ Copying samples to /home/chibi/NVIDIA_CUDA-11.4_Samples now... Finished copying samples. chibi@20-04:~$ ls NVIDIA_CUDA-11.4_Samples ドキュメント cuda-repo-ubuntu2004-11-4-local_11.4.2-470.57.02-1_amd64.deb ビデオ ダウンロード ピクチャ テンプレート ミュージック デスクトップ 公開 chibi@20-04:~$ rm *.deb chibi@20-04:~$ cd NVIDIA_CUDA-11.4_Samples chibi@20-04:~/NVIDIA_CUDA-11.4_Samples$ ls 0_Simple 2_Graphics 4_Finance 6_Advanced EULA.txt common 1_Utilities 3_Imaging 5_Simulations 7_CUDALibraries Makefile chibi@20-04:~/NVIDIA_CUDA-11.4_Samples$ cd 0_Simple chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/0_Simple$ ls UnifiedMemoryStreams simpleCubemapTexture asyncAPI simpleCudaGraphs bf16TensorCoreGemm simpleDrvRuntime binaryPartitionCG simpleIPC cdpSimplePrint simpleLayeredTexture cdpSimpleQuicksort simpleMPI clock simpleMultiCopy clock_nvrtc simpleMultiGPU cppIntegration simpleOccupancy cppOverload simpleP2P cudaNvSci simplePitchLinearTexture cudaOpenMP simplePrintf cudaTensorCoreGemm simpleSeparateCompilation dmmaTensorCoreGemm simpleStreams fp16ScalarProduct simpleSurfaceWrite globalToShmemAsyncCopy simpleTemplates immaTensorCoreGemm simpleTemplates_nvrtc inlinePTX simpleTexture inlinePTX_nvrtc simpleTextureDrv matrixMul simpleVoteIntrinsics matrixMulCUBLAS simpleVoteIntrinsics_nvrtc matrixMulDrv simpleZeroCopy matrixMul_nvrtc streamOrderedAllocation memMapIPCDrv streamOrderedAllocationIPC simpleAWBarrier streamOrderedAllocationP2P simpleAssert systemWideAtomics simpleAssert_nvrtc template simpleAtomicIntrinsics tf32TensorCoreGemm simpleAtomicIntrinsics_nvrtc vectorAdd simpleAttributes vectorAddDrv simpleCallback vectorAddMMAP simpleCooperativeGroups vectorAdd_nvrtc chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/0_Simple$ cd simpleP2P chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/0_Simple/simpleP2P$ make >>> GCC Version is greater or equal to 5.1.0 <<< /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -I../../common/inc -m64 --threads 0 --std=c++11 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o simpleP2P.o -c simpleP2P.cu nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o simpleP2P simpleP2P.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). mkdir -p ../../bin/x86_64/linux/release cp simpleP2P ../../bin/x86_64/linux/release chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/0_Simple/simpleP2P$ ./simpleP2P [./simpleP2P] - Starting... Checking for multiple GPUs... CUDA-capable device count: 2 Checking GPU(s) for support of peer to peer memory access... > Peer access from NVIDIA TITAN RTX (GPU0) -> NVIDIA TITAN RTX (GPU1) : Yes > Peer access from NVIDIA TITAN RTX (GPU1) -> NVIDIA TITAN RTX (GPU0) : Yes Enabling peer access between GPU0 and GPU1... Allocating buffers (64MB on GPU0, GPU1 and CPU Host)... Creating event handles... cudaMemcpyPeer / cudaMemcpy between GPU0 and GPU1: 43.55GB/s Preparing host buffer and memcpy to GPU0... Run kernel on GPU1, taking source data from GPU0 and writing to GPU1... Run kernel on GPU0, taking source data from GPU1 and writing to GPU0... Copy data back to host from GPU0 and verify results... Disabling peer access... Shutting down... Test passed chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/0_Simple/simpleP2P$ cd ~/NVIDIA_CUDA-11.4_Samples/1_Utilities chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities$ ls UnifiedMemoryPerf deviceQuery p2pBandwidthLatencyTest bandwidthTest deviceQueryDrv topologyQuery chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities$ cd p2pBandwidthLatencyTest chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/p2pBandwidthLatencyTest$ make >>> GCC Version is greater or equal to 5.1.0 <<< /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -I../../common/inc -m64 --threads 0 --std=c++11 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o p2pBandwidthLatencyTest.o -c p2pBandwidthLatencyTest.cu nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o p2pBandwidthLatencyTest p2pBandwidthLatencyTest.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). mkdir -p ../../bin/x86_64/linux/release cp p2pBandwidthLatencyTest ../../bin/x86_64/linux/release chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/p2pBandwidthLatencyTest$ ./p2pBandwidthLatencyTest [P2P (Peer-to-Peer) GPU Bandwidth Latency Test] Device: 0, NVIDIA TITAN RTX, pciBusID: 81, pciDeviceID: 0, pciDomainID:0 Device: 1, NVIDIA TITAN RTX, pciBusID: 82, pciDeviceID: 0, pciDomainID:0 Device=0 CAN Access Peer Device=1 Device=1 CAN Access Peer Device=0 ***NOTE: In case a device doesn't have P2P access to other one, it falls back to normal memcopy procedure. So you can see lesser Bandwidth (GB/s) and unstable Latency (us) in those cases. P2P Connectivity Matrix D\D 0 1 0 1 1 1 1 1 Unidirectional P2P=Disabled Bandwidth Matrix (GB/s) D\D 0 1 0 561.22 5.88 1 5.88 566.00 Unidirectional P2P=Enabled Bandwidth (P2P Writes) Matrix (GB/s) D\D 0 1 0 539.09 47.10 1 47.09 559.23 Bidirectional P2P=Disabled Bandwidth Matrix (GB/s) D\D 0 1 0 554.42 7.98 1 8.15 551.75 Bidirectional P2P=Enabled Bandwidth Matrix (GB/s) D\D 0 1 0 549.01 94.12 1 94.09 552.50 P2P=Disabled Latency Matrix (us) GPU 0 1 0 1.34 12.69 1 12.44 1.31 CPU 0 1 0 3.34 10.23 1 10.03 3.26 P2P=Enabled Latency (P2P Writes) Matrix (us) GPU 0 1 0 1.30 1.75 1 1.73 1.31 CPU 0 1 0 3.33 2.65 1 2.76 3.32 NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/p2pBandwidthLatencyTest$ cd ~/NVIDIA_CUDA-11.4_Samples/1_Utilities/bandwidthTest chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/bandwidthTest$ make >>> GCC Version is greater or equal to 5.1.0 <<< /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -I../../common/inc -m64 --threads 0 --std=c++11 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o bandwidthTest.o -c bandwidthTest.cu nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o bandwidthTest bandwidthTest.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). mkdir -p ../../bin/x86_64/linux/release cp bandwidthTest ../../bin/x86_64/linux/release chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/bandwidthTest$ ./bandwidthTest [CUDA Bandwidth Test] - Starting... Running on... Device 0: NVIDIA TITAN RTX Quick Mode Host to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 12.6 Device to Host Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 13.1 Device to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 535.6 Result = PASS NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/bandwidthTest$ cd ~/NVIDIA_CUDA-11.4_Samples/1_Utilities/deviceQuery chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/deviceQuery$ make /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -I../../common/inc -m64 --threads 0 --std=c++11 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o deviceQuery.o -c deviceQuery.cpp nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/local/cuda-11.4/bin/nvcc -ccbin g++ -m64 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_86,code=compute_86 -o deviceQuery deviceQuery.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). mkdir -p ../../bin/x86_64/linux/release cp deviceQuery ../../bin/x86_64/linux/release chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/deviceQuery$ ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 2 CUDA Capable device(s) Device 0: "NVIDIA TITAN RTX" CUDA Driver Version / Runtime Version 11.4 / 11.4 CUDA Capability Major/Minor version number: 7.5 Total amount of global memory: 24217 MBytes (25393692672 bytes) (072) Multiprocessors, (064) CUDA Cores/MP: 4608 CUDA Cores GPU Max Clock rate: 1770 MHz (1.77 GHz) Memory Clock rate: 7001 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: 65536 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 1024 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 3 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: "NVIDIA TITAN RTX" CUDA Driver Version / Runtime Version 11.4 / 11.4 CUDA Capability Major/Minor version number: 7.5 Total amount of global memory: 24220 MBytes (25396838400 bytes) (072) Multiprocessors, (064) CUDA Cores/MP: 4608 CUDA Cores GPU Max Clock rate: 1770 MHz (1.77 GHz) Memory Clock rate: 7001 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: 65536 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 1024 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 3 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) > > Peer access from NVIDIA TITAN RTX (GPU0) -> NVIDIA TITAN RTX (GPU1) : Yes > Peer access from NVIDIA TITAN RTX (GPU1) -> NVIDIA TITAN RTX (GPU0) : Yes deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.4, CUDA Runtime Version = 11.4, NumDevs = 2 Result = PASS chibi@20-04:~/NVIDIA_CUDA-11.4_Samples/1_Utilities/deviceQuery$ cd chibi@20-04:~$ sensors amd_energy-isa-0000 Adapter: ISA adapter ERROR: Can't get value of subfeature energy1_input: Kernel interface error energy1: N/A ERROR: Can't get value of subfeature energy2_input: Kernel interface error energy2: N/A ERROR: Can't get value of subfeature energy3_input: Kernel interface error energy3: N/A ERROR: Can't get value of subfeature energy4_input: Kernel interface error energy4: N/A ERROR: Can't get value of subfeature energy5_input: Kernel interface error energy5: N/A ERROR: Can't get value of subfeature energy6_input: Kernel interface error energy6: N/A ERROR: Can't get value of subfeature energy7_input: Kernel interface error energy7: N/A ERROR: Can't get value of subfeature energy8_input: Kernel interface error energy8: N/A ERROR: Can't get value of subfeature energy9_input: Kernel interface error energy9: N/A ERROR: Can't get value of subfeature energy10_input: Kernel interface error energy10: N/A ERROR: Can't get value of subfeature energy11_input: Kernel interface error energy11: N/A ERROR: Can't get value of subfeature energy12_input: Kernel interface error energy12: N/A ERROR: Can't get value of subfeature energy13_input: Kernel interface error energy13: N/A ERROR: Can't get value of subfeature energy14_input: Kernel interface error energy14: N/A ERROR: Can't get value of subfeature energy15_input: Kernel interface error energy15: N/A ERROR: Can't get value of subfeature energy16_input: Kernel interface error energy16: N/A ERROR: Can't get value of subfeature energy17_input: Kernel interface error energy17: N/A ERROR: Can't get value of subfeature energy18_input: Kernel interface error energy18: N/A ERROR: Can't get value of subfeature energy19_input: Kernel interface error energy19: N/A ERROR: Can't get value of subfeature energy20_input: Kernel interface error energy20: N/A ERROR: Can't get value of subfeature energy21_input: Kernel interface error energy21: N/A ERROR: Can't get value of subfeature energy22_input: Kernel interface error energy22: N/A ERROR: Can't get value of subfeature energy23_input: Kernel interface error energy23: N/A ERROR: Can't get value of subfeature energy24_input: Kernel interface error energy24: N/A ERROR: Can't get value of subfeature energy25_input: Kernel interface error energy25: N/A ERROR: Can't get value of subfeature energy26_input: Kernel interface error energy26: N/A ERROR: Can't get value of subfeature energy27_input: Kernel interface error energy27: N/A ERROR: Can't get value of subfeature energy28_input: Kernel interface error energy28: N/A ERROR: Can't get value of subfeature energy29_input: Kernel interface error energy29: N/A ERROR: Can't get value of subfeature energy30_input: Kernel interface error energy30: N/A ERROR: Can't get value of subfeature energy31_input: Kernel interface error energy31: N/A ERROR: Can't get value of subfeature energy32_input: Kernel interface error energy32: N/A ERROR: Can't get value of subfeature energy33_input: Kernel interface error energy33: N/A ucsi_source_psy_3_00081-i2c-3-08 Adapter: NVIDIA GPU I2C adapter in0: 0.00 V (min = +0.00 V, max = +0.00 V) curr1: 0.00 A (max = +0.00 A) i350bb-pci-4100 Adapter: PCI adapter loc1: +44.0°C (high = +120.0°C, crit = +110.0°C) ucsi_source_psy_4_00081-i2c-4-08 Adapter: NVIDIA GPU I2C adapter in0: 0.00 V (min = +0.00 V, max = +0.00 V) curr1: 0.00 A (max = +0.00 A) k10temp-pci-00c3 Adapter: PCI adapter Tctl: +30.8°C Tdie: +30.8°C Tccd1: +28.8°C Tccd3: +29.2°C Tccd5: +30.0°C Tccd7: +30.2°C chibi@20-04:~$ sudo hddtemp /dev/sda [sudo] chibi のパスワード: /dev/sda: TS128GSSD370S: 21°C chibi@20-04:~$ nvidia-smi Wed Oct 13 04:52:55 2021 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 470.57.02 Driver Version: 470.57.02 CUDA Version: 11.4 | |-------------------------------+----------------------+----------------------+ | 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 TITAN RTX On | 00000000:81:00.0 Off | N/A | | 40% 34C P8 33W / 280W | 298MiB / 24217MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ | 1 NVIDIA TITAN RTX On | 00000000:82:00.0 Off | N/A | | 41% 33C P8 18W / 280W | 5MiB / 24220MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 1644 G /usr/lib/xorg/Xorg 167MiB | | 0 N/A N/A 1942 G /usr/bin/gnome-shell 129MiB | | 1 N/A N/A 1644 G /usr/lib/xorg/Xorg 4MiB | +-----------------------------------------------------------------------------+ chibi@20-04:~$ lscpu アーキテクチャ: x86_64 CPU 操作モード: 32-bit, 64-bit バイト順序: Little Endian Address sizes: 43 bits physical, 48 bits virtual CPU: 64 オンラインになっている CPU のリスト: 0-63 コアあたりのスレッド数: 2 ソケットあたりのコア数: 32 ソケット数: 1 NUMA ノード数: 1 ベンダー ID: AuthenticAMD CPU ファミリー: 23 モデル: 49 モデル名: AMD EPYC 7502P 32-Core Processor ステッピング: 0 Frequency boost: enabled CPU MHz: 1500.000 CPU 最大 MHz: 2500.0000 CPU 最小 MHz: 1500.0000 BogoMIPS: 4990.69 仮想化: AMD-V L1d キャッシュ: 1 MiB L1i キャッシュ: 1 MiB L2 キャッシュ: 16 MiB L3 キャッシュ: 128 MiB NUMA ノード 0 CPU: 0-63 Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabl ed via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __ user pointer sanitization Vulnerability Spectre v2: Mitigation; Full AMD retpoline, IBPB condit ional, IBRS_FW, STIBP conditional, RSB fill ing Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected フラグ: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fx sr sse sse2 ht syscall nx mmxext fxsr_opt p dpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf p ni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdra nd lahf_lm cmp_legacy svm extapic cr8_legac y abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core per fctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate sme ssbd mba sev ibrs ibp b stibp vmmcall sev_es fsgsbase bmi1 avx2 s mep bmi2 cqm rdt_a rdseed adx smap clflusho pt clwb sha_ni xsaveopt xsavec xgetbv1 xsav es cqm_llc cqm_occup_llc cqm_mbm_total cqm_ mbm_local clzero irperf xsaveerptr rdpru wb noinvd arat npt lbrv svm_lock nrip_save tsc _scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmlo ad vgif umip rdpid overflow_recov succor sm ca chibi@20-04:~$ lstopo Machine (126GB total) Package L#0 NUMANode L#0 (P#0 126GB) L3 L#0 (16MB) L2 L#0 (512KB) + L1d L#0 (32KB) + L1i L#0 (32KB) + Core L#0 PU L#0 (P#0) PU L#1 (P#32) L2 L#1 (512KB) + L1d L#1 (32KB) + L1i L#1 (32KB) + Core L#1 PU L#2 (P#1) PU L#3 (P#33) L2 L#2 (512KB) + L1d L#2 (32KB) + L1i L#2 (32KB) + Core L#2 PU L#4 (P#2) PU L#5 (P#34) L2 L#3 (512KB) + L1d L#3 (32KB) + L1i L#3 (32KB) + Core L#3 PU L#6 (P#3) PU L#7 (P#35) L3 L#1 (16MB) L2 L#4 (512KB) + L1d L#4 (32KB) + L1i L#4 (32KB) + Core L#4 PU L#8 (P#4) PU L#9 (P#36) L2 L#5 (512KB) + L1d L#5 (32KB) + L1i L#5 (32KB) + Core L#5 PU L#10 (P#5) PU L#11 (P#37) L2 L#6 (512KB) + L1d L#6 (32KB) + L1i L#6 (32KB) + Core L#6 PU L#12 (P#6) PU L#13 (P#38) L2 L#7 (512KB) + L1d L#7 (32KB) + L1i L#7 (32KB) + Core L#7 PU L#14 (P#7) PU L#15 (P#39) L3 L#2 (16MB) L2 L#8 (512KB) + L1d L#8 (32KB) + L1i L#8 (32KB) + Core L#8 PU L#16 (P#8) PU L#17 (P#40) L2 L#9 (512KB) + L1d L#9 (32KB) + L1i L#9 (32KB) + Core L#9 PU L#18 (P#9) PU L#19 (P#41) L2 L#10 (512KB) + L1d L#10 (32KB) + L1i L#10 (32KB) + Core L#10 PU L#20 (P#10) PU L#21 (P#42) L2 L#11 (512KB) + L1d L#11 (32KB) + L1i L#11 (32KB) + Core L#11 PU L#22 (P#11) PU L#23 (P#43) L3 L#3 (16MB) L2 L#12 (512KB) + L1d L#12 (32KB) + L1i L#12 (32KB) + Core L#12 PU L#24 (P#12) PU L#25 (P#44) L2 L#13 (512KB) + L1d L#13 (32KB) + L1i L#13 (32KB) + Core L#13 PU L#26 (P#13) PU L#27 (P#45) L2 L#14 (512KB) + L1d L#14 (32KB) + L1i L#14 (32KB) + Core L#14 PU L#28 (P#14) PU L#29 (P#46) L2 L#15 (512KB) + L1d L#15 (32KB) + L1i L#15 (32KB) + Core L#15 PU L#30 (P#15) PU L#31 (P#47) L3 L#4 (16MB) L2 L#16 (512KB) + L1d L#16 (32KB) + L1i L#16 (32KB) + Core L#16 PU L#32 (P#16) PU L#33 (P#48) L2 L#17 (512KB) + L1d L#17 (32KB) + L1i L#17 (32KB) + Core L#17 PU L#34 (P#17) PU L#35 (P#49) L2 L#18 (512KB) + L1d L#18 (32KB) + L1i L#18 (32KB) + Core L#18 PU L#36 (P#18) PU L#37 (P#50) L2 L#19 (512KB) + L1d L#19 (32KB) + L1i L#19 (32KB) + Core L#19 PU L#38 (P#19) PU L#39 (P#51) L3 L#5 (16MB) L2 L#20 (512KB) + L1d L#20 (32KB) + L1i L#20 (32KB) + Core L#20 PU L#40 (P#20) PU L#41 (P#52) L2 L#21 (512KB) + L1d L#21 (32KB) + L1i L#21 (32KB) + Core L#21 PU L#42 (P#21) PU L#43 (P#53) L2 L#22 (512KB) + L1d L#22 (32KB) + L1i L#22 (32KB) + Core L#22 PU L#44 (P#22) PU L#45 (P#54) L2 L#23 (512KB) + L1d L#23 (32KB) + L1i L#23 (32KB) + Core L#23 PU L#46 (P#23) PU L#47 (P#55) L3 L#6 (16MB) L2 L#24 (512KB) + L1d L#24 (32KB) + L1i L#24 (32KB) + Core L#24 PU L#48 (P#24) PU L#49 (P#56) L2 L#25 (512KB) + L1d L#25 (32KB) + L1i L#25 (32KB) + Core L#25 PU L#50 (P#25) PU L#51 (P#57) L2 L#26 (512KB) + L1d L#26 (32KB) + L1i L#26 (32KB) + Core L#26 PU L#52 (P#26) PU L#53 (P#58) L2 L#27 (512KB) + L1d L#27 (32KB) + L1i L#27 (32KB) + Core L#27 PU L#54 (P#27) PU L#55 (P#59) L3 L#7 (16MB) L2 L#28 (512KB) + L1d L#28 (32KB) + L1i L#28 (32KB) + Core L#28 PU L#56 (P#28) PU L#57 (P#60) L2 L#29 (512KB) + L1d L#29 (32KB) + L1i L#29 (32KB) + Core L#29 PU L#58 (P#29) PU L#59 (P#61) L2 L#30 (512KB) + L1d L#30 (32KB) + L1i L#30 (32KB) + Core L#30 PU L#60 (P#30) PU L#61 (P#62) L2 L#31 (512KB) + L1d L#31 (32KB) + L1i L#31 (32KB) + Core L#31 PU L#62 (P#31) PU L#63 (P#63) HostBridge PCIBridge PCI 41:00.0 (Ethernet) Net "enp65s0f0" PCI 41:00.1 (Ethernet) Net "enp65s0f1" PCIBridge PCI 44:00.0 (SATA) PCIBridge PCI 45:00.0 (SATA) HostBridge PCIBridge PCI 81:00.0 (VGA) GPU ":0.0" CoProc(OpenCL) "opencl0d0" PCIBridge PCI 82:00.0 (VGA) CoProc(OpenCL) "opencl0d1" PCIBridge PCI 85:00.0 (SATA) Block(Disk) "sda" PCIBridge PCI 86:00.0 (SATA) HostBridge PCIBridge PCIBridge PCI c2:00.0 (VGA) chibi@20-04:~$ lsmem RANGE SIZE STATE REMOVABLE BLOCK 0x0000000000000000-0x000000207fffffff 130G online yes 0-64 Memory block size: 2G Total online memory: 130G Total offline memory: 0B chibi@20-04:~$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2021 NVIDIA Corporation Built on Sun_Aug_15_21:14:11_PDT_2021 Cuda compilation tools, release 11.4, V11.4.120 Build cuda_11.4.r11.4/compiler.30300941_0 chibi@20-04:~$ cat /etc/os-release NAME="Ubuntu" VERSION="20.04.3 LTS (Focal Fossa)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 20.04.3 LTS" VERSION_ID="20.04" HOME_URL="https://www.ubuntu.com/" SUPPORT_URL="https://help.ubuntu.com/" BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" VERSION_CODENAME=focal UBUNTU_CODENAME=focal chibi@20-04:~$