Image url : https://1.bp.blogspot.com/-nlMTo7wXROw/YNyOoFs3ylI/AAAAAAABgXc/PZDy56zG3Uo7vcFo8I592sQfKcoSHdBcACLcBGAsYHQ/s2048/example.jpg
6/30/2021
6/28/2021
CUDA_ARCH_BIN Table for gpu type
CUDA_ARCH_BIN Table for gpu type
Jetson Products
| GPU | Compute Capability |
|---|---|
| Jetson AGX Xavier | 7.2 |
| Jetson Nano | 5.3 |
| Jetson TX2 | 6.2 |
| Jetson TX1 | 5.3 |
| Tegra X1 | 5.3 |
Tesla Workstation Products
| GPU | Compute Capability |
|---|---|
| Tesla K80 | 3.7 |
| Tesla K40 | 3.5 |
| Tesla K20 | 3.5 |
| Tesla C2075 | 2.0 |
| Tesla C2050/C2070 | 2.0 |
Tesla NVIDIA Data Center Products
| GPU | Compute Capability |
|---|---|
| NVIDIA A100 | 8.0 |
| NVIDIA T4 | 7.5 |
| NVIDIA V100 | 7.0 |
| Tesla P100 | 6.0 |
| Tesla P40 | 6.1 |
| Tesla P4 | 6.1 |
| Tesla M60 | 5.2 |
| Tesla M40 | 5.2 |
| Tesla K80 | 3.7 |
| Tesla K40 | 3.5 |
| Tesla K20 | 3.5 |
| Tesla K10 | 3.0 |
Quadro Desktop Products
| GPU | Compute Capability |
|---|---|
| Quadro RTX 8000 | 7.5 |
| Quadro RTX 6000 | 7.5 |
| Quadro RTX 5000 | 7.5 |
| Quadro RTX 4000 | 7.5 |
| Quadro GV100 | 7.0 |
| Quadro GP100 | 6.0 |
| Quadro P6000 | 6.1 |
| Quadro P5000 | 6.1 |
| Quadro P4000 | 6.1 |
| Quadro P2200 | 6.1 |
| Quadro P2000 | 6.1 |
| Quadro P1000 | 6.1 |
| Quadro P620 | 6.1 |
| Quadro P600 | 6.1 |
| Quadro P400 | 6.1 |
| Quadro M6000 24GB | 5.2 |
| Quadro M6000 | 5.2 |
| Quadro K6000 | 3.5 |
| Quadro M5000 | 5.2 |
| Quadro K5200 | 3.5 |
| Quadro K5000 | 3.0 |
| Quadro M4000 | 5.2 |
| Quadro K4200 | 3.0 |
| Quadro K4000 | 3.0 |
| Quadro M2000 | 5.2 |
| Quadro K2200 | 3.0 |
| Quadro K2000 | 3.0 |
| Quadro K2000D | 3.0 |
| Quadro K1200 | 5.0 |
| Quadro K620 | 5.0 |
| Quadro K600 | 3.0 |
| Quadro K420 | 3.0 |
| Quadro 410 | 3.0 |
| Quadro Plex 7000 | 2.0 |
Quadro Mobile Products
| GPU | Compute Capability |
|---|---|
| RTX 5000 | 7.5 |
| RTX 4000 | 7.5 |
| RTX 3000 | 7.5 |
| T2000 | 7.5 |
| T1000 | 7.5 |
| P620 | 6.1 |
| P520 | 6.1 |
| Quadro P5200 | 6.1 |
| Quadro P4200 | 6.1 |
| Quadro P3200 | 6.1 |
| Quadro P5000 | 6.1 |
| Quadro P4000 | 6.1 |
| Quadro P3000 | 6.1 |
| Quadro P2000 | 6.1 |
| Quadro P1000 | 6.1 |
| Quadro P600 | 6.1 |
| Quadro P500 | 6.1 |
| Quadro M5500M | 5.2 |
| Quadro M2200 | 5.2 |
| Quadro M1200 | 5.0 |
| Quadro M620 | 5.2 |
| Quadro M520 | 5.0 |
| Quadro K6000M | 3.0 |
| Quadro K5200M | 3.0 |
| Quadro K5100M | 3.0 |
| Quadro M5000M | 5.0 |
| Quadro K500M | 3.0 |
| Quadro K4200M | 3.0 |
| Quadro K4100M | 3.0 |
| Quadro M4000M | 5.0 |
| Quadro K3100M | 3.0 |
| Quadro M3000M | 5.0 |
| Quadro K2200M | 3.0 |
| Quadro K2100M | 3.0 |
| Quadro M2000M | 5.0 |
| Quadro K1100M | 3.0 |
| Quadro M1000M | 5.0 |
| Quadro K620M | 5.0 |
| Quadro K610M | 3.5 |
| Quadro M600M | 5.0 |
| Quadro K510M | 3.5 |
| Quadro M500M | 5.0 |
NVS Desktop Products
| GPU | Compute Capability |
|---|---|
| NVIDIA NVS 810 | 5.0 |
| NVIDIA NVS 510 | 3.0 |
| NVIDIA NVS 315 | 2.1 |
| NVIDIA NVS 310 | 2.1 |
NVS Mobile Products
GeForce and TITAN Products
GeForce Notebook Products
Subscribe to:
Posts (Atom)
-
Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output... -
make well divided linear coordinate And make pair coordinate Please see code for detail explanation. import numpy as np import cv2 ... -
This is data acquisition source code of LMS511(SICK co.) Source code is made by MFC(vs 2008). The sensor is communicated by TCP/IP. ... -
In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv <-> rgb converting example code. refer to this page -> ht...
-
I am wondering that two hog features can compare or not. There was a article about this question on this page -> http://stackoverflow... -
As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
-
put a explicit parameter name like: from sklearn.utils import class_weight class_weights = class_weight.compute_class_weight( class_weight...
-
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
The latent SVM tells the learning method used in this paper -> "Discriminatively trained deformable part models". The authors s... -
Created Date : 2007.8 Language : Matlab / C++(MFC) Tool : Matlab / Visual C++ 6.0 Library & Utilized : - / OpenGL Reference : ...
