chibi@1604:~$ nvidia-smi nvlink -c GPU 0: GeForce RTX 2080 Ti (UUID: GPU-13277ce5-e1e9-0cb1-8cee-6c9e6618e774) 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: GeForce RTX 2080 Ti (UUID: GPU-1ac935c2-557f-282e-14e5-3f749ffd63ac) 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@1604:~$ cd NVIDIA_CUDA-11.0_Samples chibi@1604:~/NVIDIA_CUDA-11.0_Samples$ ls 0_Simple 2_Graphics 4_Finance 6_Advanced EULA.txt common 1_Utilities 3_Imaging 5_Simulations 7_CUDALibraries Makefile chibi@1604:~/NVIDIA_CUDA-11.0_Samples$ cd 0_Simple chibi@1604:~/NVIDIA_CUDA-11.0_Samples/0_Simple$ ls UnifiedMemoryStreams simpleCooperativeGroups asyncAPI simpleCubemapTexture bf16TensorCoreGemm simpleCudaGraphs binaryPartitionCG simpleDrvRuntime cdpSimplePrint simpleIPC cdpSimpleQuicksort simpleLayeredTexture clock simpleMPI clock_nvrtc simpleMultiCopy cppIntegration simpleMultiGPU cppOverload simpleOccupancy cudaNvSci simpleP2P cudaOpenMP simplePitchLinearTexture cudaTensorCoreGemm simplePrintf dmmaTensorCoreGemm simpleSeparateCompilation fp16ScalarProduct simpleStreams globalToShmemAsyncCopy simpleSurfaceWrite immaTensorCoreGemm simpleTemplates inlinePTX simpleTemplates_nvrtc inlinePTX_nvrtc simpleTexture matrixMul simpleTextureDrv matrixMulCUBLAS simpleVoteIntrinsics matrixMulDrv simpleVoteIntrinsics_nvrtc matrixMul_nvrtc simpleZeroCopy memMapIPCDrv systemWideAtomics simpleAWBarrier template simpleAssert tf32TensorCoreGemm simpleAssert_nvrtc vectorAdd simpleAtomicIntrinsics vectorAddDrv simpleAtomicIntrinsics_nvrtc vectorAddMMAP simpleAttributes vectorAdd_nvrtc simpleCallback chibi@1604:~/NVIDIA_CUDA-11.0_Samples/0_Simple$ cd simpleP2P chibi@1604:~/NVIDIA_CUDA-11.0_Samples/0_Simple/simpleP2P$ make /usr/local/cuda-11.0/bin/nvcc -ccbin g++ -I../../common/inc -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_80,code=compute_80 -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-11.0/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_80,code=compute_80 -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@1604:~/NVIDIA_CUDA-11.0_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 GeForce RTX 2080 Ti (GPU0) -> GeForce RTX 2080 Ti (GPU1) : Yes > Peer access from GeForce RTX 2080 Ti (GPU1) -> GeForce RTX 2080 Ti (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: 43.54GB/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@1604:~/NVIDIA_CUDA-11.0_Samples/0_Simple/simpleP2P$ cd ~/NVIDIA_CUDA-11.0_Samples/1_Utilities chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities$ ls UnifiedMemoryPerf deviceQuery p2pBandwidthLatencyTest bandwidthTest deviceQueryDrv topologyQuery chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities$ cd p2pBandwidthLatencyTest chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/p2pBandwidthLatencyTest$ make /usr/local/cuda-11.0/bin/nvcc -ccbin g++ -I../../common/inc -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_80,code=compute_80 -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-11.0/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_80,code=compute_80 -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@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/p2pBandwidthLatencyTest$ ./p2pBandwidthLatencyTest [P2P (Peer-to-Peer) GPU Bandwidth Latency Test] Device: 0, GeForce RTX 2080 Ti, pciBusID: 81, pciDeviceID: 0, pciDomainID:0 Device: 1, GeForce RTX 2080 Ti, 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 0 542.09 11.63 1 11.59 542.91 Unidirectional P2P=Enabled Bandwidth (P2P Writes) Matrix (GB/s) D\D 0 1 0 521.20 47.11 1 47.10 542.65 Bidirectional P2P=Disabled Bandwidth Matrix (GB/s) D\D 0 1 0 526.30 12.97 1 13.01 530.20 Bidirectional P2P=Enabled Bandwidth Matrix (GB/s) D\D 0 1 0 529.85 94.12 1 94.14 529.50 P2P=Disabled Latency Matrix (us) GPU 0 1 0 1.52 20.10 1 14.27 1.33 CPU 0 1 0 4.14 12.44 1 12.42 4.08 P2P=Enabled Latency (P2P Writes) Matrix (us) GPU 0 1 0 1.33 1.76 1 1.78 1.33 CPU 0 1 0 4.23 3.64 1 3.65 4.08 NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/p2pBandwidthLatencyTest$ cd ~/NVIDIA_CUDA-11.0_Samples/1_Utilities/bandwidthTest chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/bandwidthTest$ make /usr/local/cuda-11.0/bin/nvcc -ccbin g++ -I../../common/inc -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_80,code=compute_80 -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-11.0/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_80,code=compute_80 -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@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/bandwidthTest$ ./bandwidthTest [CUDA Bandwidth Test] - Starting... Running on... Device 0: GeForce RTX 2080 Ti Quick Mode Host to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 11.9 Device to Host Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 10.8 Device to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(GB/s) 32000000 518.2 Result = PASS NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/bandwidthTest$ cd ~/NVIDIA_CUDA-11.0_Samples/1_Utilities/deviceQuery chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/deviceQuery$ make /usr/local/cuda-11.0/bin/nvcc -ccbin g++ -I../../common/inc -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_80,code=compute_80 -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-11.0/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_80,code=compute_80 -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@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/deviceQuery$ ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 2 CUDA Capable device(s) Device 0: "GeForce RTX 2080 Ti" CUDA Driver Version / Runtime Version 11.0 / 11.0 CUDA Capability Major/Minor version number: 7.5 Total amount of global memory: 11018 MBytes (11553341440 bytes) (68) Multiprocessors, ( 64) CUDA Cores/MP: 4352 CUDA Cores GPU Max Clock rate: 1635 MHz (1.63 GHz) Memory Clock rate: 7000 Mhz Memory Bus Width: 352-bit L2 Cache Size: 5767168 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 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: "GeForce RTX 2080 Ti" CUDA Driver Version / Runtime Version 11.0 / 11.0 CUDA Capability Major/Minor version number: 7.5 Total amount of global memory: 11019 MBytes (11554717696 bytes) (68) Multiprocessors, ( 64) CUDA Cores/MP: 4352 CUDA Cores GPU Max Clock rate: 1635 MHz (1.63 GHz) Memory Clock rate: 7000 Mhz Memory Bus Width: 352-bit L2 Cache Size: 5767168 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 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: No 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 GeForce RTX 2080 Ti (GPU0) -> GeForce RTX 2080 Ti (GPU1) : Yes > Peer access from GeForce RTX 2080 Ti (GPU1) -> GeForce RTX 2080 Ti (GPU0) : Yes deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.0, CUDA Runtime Version = 11.0, NumDevs = 2 Result = PASS chibi@1604:~/NVIDIA_CUDA-11.0_Samples/1_Utilities/deviceQuery$ cd chibi@1604:~$ cat /etc/os-release NAME="Ubuntu" VERSION="16.04.7 LTS (Xenial Xerus)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 16.04.7 LTS" VERSION_ID="16.04" HOME_URL="http://www.ubuntu.com/" SUPPORT_URL="http://help.ubuntu.com/" BUG_REPORT_URL="http://bugs.launchpad.net/ubuntu/" VERSION_CODENAME=xenial UBUNTU_CODENAME=xenial chibi@1604:~$ nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Wed_Jul_22_19:09:09_PDT_2020 Cuda compilation tools, release 11.0, V11.0.221 Build cuda_11.0_bu.TC445_37.28845127_0 chibi@1604:~$ sensors i350bb-pci-4100 Adapter: PCI adapter loc1: +50.0°C (high = +120.0°C, crit = +110.0°C) k10temp-pci-00c3 Adapter: PCI adapter temp1: +29.8°C (high = +70.0°C) chibi@1604:~$ sudo hddtemp /dev/sda [sudo] chibi のパスワード: /dev/sda: TS128GSSD370S: 28°C chibi@1604:~$ lscpu Architecture: x86_64 CPU 操作モード: 32-bit, 64-bit Byte Order: Little Endian CPU(s): 32 On-line CPU(s) list: 0-31 コアあたりのスレッド数:2 ソケットあたりのコア数:16 Socket(s): 1 NUMA ノード数: 1 ベンダー ID: AuthenticAMD CPU ファミリー: 23 モデル: 49 Model name: AMD EPYC 7302P 16-Core Processor ステッピング: 0 CPU MHz: 1498.805 CPU max MHz: 3000.0000 CPU min MHz: 1500.0000 BogoMIPS: 5988.81 仮想化: AMD-V L1d キャッシュ: 32K L1i キャッシュ: 32K L2 キャッシュ: 512K L3 キャッシュ: 16384K NUMA node0 CPU(s): 0-31 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate sme ssbd ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif umip rdpid overflow_recov succor smca chibi@1604:~$ lstopo Machine (63GB) Package L#0 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#16) L2 L#1 (512KB) + L1d L#1 (32KB) + L1i L#1 (32KB) + Core L#1 PU L#2 (P#1) PU L#3 (P#17) L3 L#1 (16MB) L2 L#2 (512KB) + L1d L#2 (32KB) + L1i L#2 (32KB) + Core L#2 PU L#4 (P#2) PU L#5 (P#18) L2 L#3 (512KB) + L1d L#3 (32KB) + L1i L#3 (32KB) + Core L#3 PU L#6 (P#3) PU L#7 (P#19) L3 L#2 (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#20) L2 L#5 (512KB) + L1d L#5 (32KB) + L1i L#5 (32KB) + Core L#5 PU L#10 (P#5) PU L#11 (P#21) L3 L#3 (16MB) L2 L#6 (512KB) + L1d L#6 (32KB) + L1i L#6 (32KB) + Core L#6 PU L#12 (P#6) PU L#13 (P#22) L2 L#7 (512KB) + L1d L#7 (32KB) + L1i L#7 (32KB) + Core L#7 PU L#14 (P#7) PU L#15 (P#23) L3 L#4 (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#24) L2 L#9 (512KB) + L1d L#9 (32KB) + L1i L#9 (32KB) + Core L#9 PU L#18 (P#9) PU L#19 (P#25) L3 L#5 (16MB) L2 L#10 (512KB) + L1d L#10 (32KB) + L1i L#10 (32KB) + Core L#10 PU L#20 (P#10) PU L#21 (P#26) L2 L#11 (512KB) + L1d L#11 (32KB) + L1i L#11 (32KB) + Core L#11 PU L#22 (P#11) PU L#23 (P#27) L3 L#6 (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#28) L2 L#13 (512KB) + L1d L#13 (32KB) + L1i L#13 (32KB) + Core L#13 PU L#26 (P#13) PU L#27 (P#29) L3 L#7 (16MB) L2 L#14 (512KB) + L1d L#14 (32KB) + L1i L#14 (32KB) + Core L#14 PU L#28 (P#14) PU L#29 (P#30) L2 L#15 (512KB) + L1d L#15 (32KB) + L1i L#15 (32KB) + Core L#15 PU L#30 (P#15) PU L#31 (P#31) HostBridge L#0 PCIBridge PCI 8086:1521 Net L#0 "enp65s0f0" PCI 8086:1521 Net L#1 "enp65s0f1" PCIBridge PCI 1022:7901 PCIBridge PCI 1022:7901 HostBridge L#4 PCIBridge PCI 10de:1e07 GPU L#2 "renderD128" GPU L#3 "card1" PCIBridge PCI 10de:1e07 GPU L#4 "renderD129" GPU L#5 "card2" PCIBridge PCI 1022:7901 Block(Disk) L#6 "sda" PCIBridge PCI 1022:7901 HostBridge L#9 PCIBridge PCIBridge PCI 1a03:2000 GPU L#7 "controlD64" GPU L#8 "card0" chibi@1604:~$ cat /proc/meminfo MemTotal: 65830240 kB MemFree: 63336304 kB MemAvailable: 63994608 kB Buffers: 41792 kB Cached: 1226016 kB SwapCached: 0 kB Active: 933816 kB Inactive: 945284 kB Active(anon): 611304 kB Inactive(anon): 75328 kB Active(file): 322512 kB Inactive(file): 869956 kB Unevictable: 32 kB Mlocked: 32 kB SwapTotal: 0 kB SwapFree: 0 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 611392 kB Mapped: 367264 kB Shmem: 76876 kB Slab: 313320 kB SReclaimable: 120788 kB SUnreclaim: 192532 kB KernelStack: 12432 kB PageTables: 29076 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 32915120 kB Committed_AS: 4467976 kB VmallocTotal: 34359738367 kB VmallocUsed: 0 kB VmallocChunk: 0 kB HardwareCorrupted: 0 kB AnonHugePages: 0 kB ShmemHugePages: 0 kB ShmemPmdMapped: 0 kB CmaTotal: 0 kB CmaFree: 0 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 587240 kB DirectMap2M: 7665664 kB DirectMap1G: 59768832 kB chibi@1604:~$ free total used free shared buff/cache available Mem: 65830240 912808 63336304 76876 1581128 63994608 Swap: 0 0 0 chibi@1604:~$ nvidia-smi Thu Aug 27 11:02:45 2020 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 450.51.06 Driver Version: 450.51.06 CUDA Version: 11.0 | |-------------------------------+----------------------+----------------------+ | 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 GeForce RTX 208... Off | 00000000:81:00.0 Off | N/A | | 41% 37C P8 15W / 260W | 734MiB / 11018MiB | 1% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ | 1 GeForce RTX 208... Off | 00000000:82:00.0 Off | N/A | | 40% 36C P8 21W / 260W | 1MiB / 11019MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 1397 G /usr/lib/xorg/Xorg 523MiB | | 0 N/A N/A 2120 G compiz 209MiB | +-----------------------------------------------------------------------------+ chibi@1604:~$