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查看bme_cpu所有节点的详细情况scontrol show node bme_gpu[12-23] 下面这个看起来分配出去较少 查看bme_cpu空闲节点sinfo -p bme_gpu -o %n %G %C %m %e NVIDIAA10080GBPCIe 卡 gpu 13看起来最少 在命令中选择这个节点
#!/bin/bash
#SBATCH -J rati…流程
查看bme_cpu所有节点的详细情况scontrol show node bme_gpu[12-23] 下面这个看起来分配出去较少 查看bme_cpu空闲节点sinfo -p bme_gpu -o %n %G %C %m %e NVIDIAA10080GBPCIe 卡 gpu 13看起来最少 在命令中选择这个节点
#!/bin/bash
#SBATCH -J ratio25
#SBATCH -N 1
#SBATCH -p bme_gpu
#SBATCH -n 8
#SBATCH --time04:10:00
#SBATCH --gresgpu:NVIDIAA10080GBPCIe:1
#SBATCH --nodelistbme_gpu13
#SBATCH -o %j.out
#SBATCH -e %j.out
echo ${SLURM_JOB_NODELIST}
echo start on $(date)
source activate py38
python train_withXYZ_remote.py
echo end on $(date)# 查看bme_gpu12到bme_gpu23节点的详细信息
scontrol show node bme_gpu[12-23]# 或者查看所有包含 NVIDIAA10080GBPCIe GPU 的节点
scontrol show node | grep -A 10 NodeNamebme_gpu1[2-9]\|NodeNamebme_gpu2[0-3]# 查看bme_gpu分区中所有作业的信息
squeue -p bme_gpu -o %.18i %.9P %.8j %.8u %.2t %.10M %.6D %R# 查看bme_gpu分区的节点使用情况
sinfo -p bme_gpu -o %n %f %G %C %m# 查看所有节点的GPU使用情况
scontrol show node | grep -E NodeName|Gres|AllocTRES
查看空闲节点
(base) [yuanhy2023bme-login03 dmri_fmri2PET]$ sinfo -p bme_gpu -o %n %G %C %m %e
HOSTNAMES GRES CPUS(A/I/O/T) MEMORY FREE_MEM
bme_gpu01 gpu:TeslaV100S-PCIE-32GB:4 32/8/0/40 385422 340886
bme_gpu02 gpu:TeslaV100S-PCIE-32GB:4 24/16/0/40 385422 190333
bme_gpu03 gpu:NVIDIAA100-PCIE-40GB:4 24/16/0/40 385421 356811
bme_gpu04 gpu:NVIDIAA100-PCIE-40GB:4 18/22/0/40 385421 308029
bme_gpu05 gpu:NVIDIAA100-PCIE-40GB:4 21/19/0/40 385421 221302
bme_gpu06 gpu:NVIDIAA100-PCIE-40GB:4 22/18/0/40 385421 329626
bme_gpu07 gpu:NVIDIAA100-PCIE-40GB:4 20/20/0/40 385421 272223
bme_gpu08 gpu:NVIDIAA100-PCIE-40GB:4 24/16/0/40 385421 334960
bme_gpu10 gpu:NVIDIAA100-PCIE-40GB:8 33/7/0/40 385421 222243
bme_gpu12 gpu:NVIDIAA10080GBPCIe:4 32/16/0/48 515470 356842
bme_gpu13 gpu:NVIDIAA10080GBPCIe:4 16/32/0/48 515470 458384
bme_gpu14 gpu:NVIDIAA10080GBPCIe:4 32/16/0/48 515470 398798
bme_gpu15 gpu:NVIDIAA10080GBPCIe:4 25/23/0/48 515470 347636
bme_gpu16 gpu:NVIDIAA10080GBPCIe:4 28/20/0/48 515470 312912
bme_gpu17 gpu:NVIDIAA10080GBPCIe:4 32/16/0/48 515470 361716
bme_gpu18 gpu:NVIDIAA10080GBPCIe:4 32/16/0/48 515470 469081
bme_gpu19 gpu:NVIDIAA10080GBPCIe:4 36/12/0/48 515470 387393
bme_gpu20 gpu:NVIDIAA10080GBPCIe:4 32/16/0/48 515470 241189
bme_gpu21 gpu:NVIDIAA10080GBPCIe:4 25/23/0/48 515470 121542
bme_gpu22 gpu:NVIDIAA10080GBPCIe:4 29/19/0/48 515470 440023
bme_gpu23 gpu:NVIDIAA10080GBPCIe:4 32/16/0/48 515470 439940
bme_gpu24 gpu:NVIDIAA10080GBPCIe:6 36/12/0/48 515470 141288
