ref url: https://www.pugetsystems.com/labs/hpc/TitanXp-vs-GTX1080Ti-for-Machine-Learning-937/

nbody -benchmark -numbodies=256000

(1) GTX 1070 4137 GFLOP/s

(1) GTX 1080Ti 7514 GFLOP/s

(1) Titan X Pascal 7524 GFLOP/s

(1) Titan Xp 7904 GFLOP/s

--------------------------------------

In my case,

> 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"

If ubuntu(ubuntu14.01) can not find your onboard nic(gigabyte z370 hd3), then download n/w driver and install it as follows

1. Download from driver "https://downloadcenter.intel.com/ko/download/15817?_ga=2.112617741.80207377.1514690229-1690502750.1514689335"

2. uncompress the driver then

  cd DRIVER_FOLDER/src;sudo make install

3. modprobe e1000e

적어도 쭈뼜거리는 것보다는 낫지 않을까 싶은데,

균형을 잡기가 쉽지는 않다.

파일은 여전히 암호화

내용은 지난주가 좀 더 알찬듯