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This version (2021/05/14 18:35) is a draft.Approvals: 0/1
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Special hardware (GPUs, binfs) available & how to use it
- Article written by Siegfried Höfinger (VSC Team)
(last update 2020-10-04 by sh).
TOP500 List June 2020
| Rank | Nation | Machine | Performance | Accelerators |
|---|---|---|---|---|
| 1. |  | Fugaku | 416 PFLOPs/s | |
| 2. |  | Summit | 149 PFLOPs/s | NVIDIA V100 |
| 3. | | Sierra | 95 PFLOPs/s | NVIDIA V100 |
| 4. |  | Sunway TaihuLight | 93 PFLOPs/s | |
| 5. | | Tianhe-2A | 62 PFLOPs/s | |
| 6. |  | HPC5 | 36 PFLOPs/s | NVIDIA V100 |
| 7. | | Selene | 28 PFLOPs/s | NVIDIA A100 |
| 8. | | Frontera | 24 PFLOPs/s | NVIDIA RTX5000/V100 |
| 9. | | Marconi-100 | 22 PFLOPs/s | NVIDIA V100 |
| 10. |  | Piz Daint | 21 PFLOPs/s | NVIDIA P100 |
Components on VSC-3+
| Model | #cores | Clock Freq (GHz) | Memory (GB) | Bandwidth (GB/s) | TDP (Watt) | FP32/FP64 (GFLOPs/s) |
|---|---|---|---|---|---|---|
| 42+49x GeForce GTX-1080 n37[1,2,3]-[001-006,001-022,001-026] | ||||||
 | 2560 | 1.61 | 8 | 320 | 180 | 8228/257 |
| 4x Tesla k20m n372-02[4,5] | ||||||
 | 2496 | 0.71 | 5 | 208 | 195 | 3520/1175 |
| 1x Tesla V100 n372-023 | ||||||
 | 5120/644 | 1.31 | 32 | 900 | 250 | 14000/7000 |
| 19x GeForce RTX-2080Ti n375-[001-019] |
Working on GPU nodes
Interactive mode
1. VSC-3 > salloc -N 1 -p gpu_gtx1080single --qos gpu_gtx1080single
2. VSC-3 > squeue -u $USER
3. VSC-3 > srun -n 1 hostname (...while still on the login node !)
4. VSC-3 > ssh n372-012 (...or whatever else node had been assigned)
5. VSC-3 > module load cuda/9.1.85
cd ~/examples/09_special_hardware/gpu_gtx1080/matrixMul
nvcc ./matrixMul.cu
./a.out
cd ~/examples/09_special_hardware/gpu_gtx1080/matrixMulCUBLAS
nvcc matrixMulCUBLAS.cu -lcublas
./a.out
6. VSC-3 > nvidia-smi
7. VSC-3 > /opt/sw/x86_64/glibc-2.17/ivybridge-ep/cuda/9.1.85/NVIDIA_CUDA-9.1_Samples/1_Utilities/deviceQuery/deviceQuery
Working on GPU nodes cont.
SLURM submission gpu_test.scrpt
#!/bin/bash # # usage: sbatch ./gpu_test.scrpt # #SBATCH -J gtx1080 #SBATCH -N 1 #SBATCH --partition gpu_gtx1080single #SBATCH --qos gpu_gtx1080single module purge module load cuda/9.1.85 nvidia-smi /opt/sw/x86_64/glibc-2.17/ivybridge-ep/cuda/9.1.85/NVIDIA_CUDA-9.1_Samples/1_Utilities/deviceQuery/deviceQuery
Exercise/Example/Problem:
Using interactive mode or batch submission, figure out whether we have ECC enabled on GPUs of type gtx1080 ?