What's new? |
Maximum performance!! 두둥 ㅎㅎ - 컴퓨터 |
src: https://gist.github.com/Brainiarc7/6d6c3f23ea057775b72c52817759b25c
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance.
라고 하는데 정말 일까나..
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance.
라고 하는데 정말 일까나..
written time : 2018-11-08 22:45:04.0
2080ti cuda benchmark by using NVIDIA sample - 컴퓨터 |
2080ti cuda benchmark by using NVIDIA sample
ref url: https://www.pugetsystems.com/labs/hpc/TitanXp-vs-GTX1080Ti-for-Machine-Learning-937/
nbody -benchmark -numbodies=256000
2080Ti
--------------------------------------
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
MapSMtoCores for SM 7.5 is undefined. Default to use 64 Cores/SM
GPU Device 0: "GeForce RTX 2080 Ti" with compute capability 7.5
> Compute 7.5 CUDA device: [GeForce RTX 2080 Ti]
number of bodies = 256000
256000 bodies, total time for 10 iterations: 1225.979 ms
= 534.561 billion interactions per second
= 10691.212 single-precision GFLOP/s at 20 flops per interaction
Nvidia driver: 410.73
cuda: 9.0
g/c: 2080ti
cpu: 8700k
m/b: ga-z370-hd3
ram: dominator 3466kHz(XMP applied)
My previous GPU
- Titan Xp
--------------------------------------
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
gpuDeviceInit() CUDA Device [0]: "Graphics Device
> Compute 6.1 CUDA device: [Graphics Device]
number of bodies = 256000
256000 bodies, total time for 10 iterations: 1611.591 ms
= 406.654 billion interactions per second
= 8133.082 single-precision GFLOP/s at 20 flops per interaction
(The range of GLOP/s was from 8066.468 to 8133.082)
Nvidia driver: 375.26
cuda: 8.0
g/c: titan xp
cpu: 8700k
m/b: ga-z370-hd3
ram: dominator 3466kHz(XMP applied)
* GTX 680 showed "1606.946 single-precision GFLOP/s at 20 flops per interaction"
ref url: https://www.pugetsystems.com/labs/hpc/TitanXp-vs-GTX1080Ti-for-Machine-Learning-937/
nbody -benchmark -numbodies=256000
2080Ti
--------------------------------------
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
MapSMtoCores for SM 7.5 is undefined. Default to use 64 Cores/SM
GPU Device 0: "GeForce RTX 2080 Ti" with compute capability 7.5
> Compute 7.5 CUDA device: [GeForce RTX 2080 Ti]
number of bodies = 256000
256000 bodies, total time for 10 iterations: 1225.979 ms
= 534.561 billion interactions per second
= 10691.212 single-precision GFLOP/s at 20 flops per interaction
Nvidia driver: 410.73
cuda: 9.0
g/c: 2080ti
cpu: 8700k
m/b: ga-z370-hd3
ram: dominator 3466kHz(XMP applied)
My previous GPU
- Titan Xp
--------------------------------------
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
gpuDeviceInit() CUDA Device [0]: "Graphics Device
> Compute 6.1 CUDA device: [Graphics Device]
number of bodies = 256000
256000 bodies, total time for 10 iterations: 1611.591 ms
= 406.654 billion interactions per second
= 8133.082 single-precision GFLOP/s at 20 flops per interaction
(The range of GLOP/s was from 8066.468 to 8133.082)
Nvidia driver: 375.26
cuda: 8.0
g/c: titan xp
cpu: 8700k
m/b: ga-z370-hd3
ram: dominator 3466kHz(XMP applied)
* GTX 680 showed "1606.946 single-precision GFLOP/s at 20 flops per interaction"
written time : 2018-11-07 20:05:04.0
아직 아이들이 어려서 일 수 있지만 - 일상 |
부모가 되면 안다는 것 중 적어도 하나는
아이를 생각하면
좋았던 기억과 미안했던 기억만이
번갈아 떠오른 다는 것 같다.
아이를 생각하면
좋았던 기억과 미안했던 기억만이
번갈아 떠오른 다는 것 같다.
written time : 2018-10-11 01:48:06.0