sli

2013年5月18日，NVIDIA在2013年游戏群英会上出人意料地以不公开产品型号的方式向大众展示了一款神秘显卡。尽管只是惊鸿一瞥，但是大家都相信这就是即将到来的GeForce GTX 780显卡。果不其然，在稍后的5月24日，NVIDIA正式发布了这款产品。GeForce GTX 780，NVIDIA新一代GTX 700系列的单核心旗舰显卡，其性能究竟如何呢？ GTX 780规格解读 或许NVIDIA认为GTX 780性能已经很出色，对保密不甚上心，因此其规格早在发布之前就已经被爆料得差不多了。本刊也早在4月下《GeForce GTX 780？ GK110神秘显卡抢先曝光》一文中曝光了该显卡。 下面，我们来看看GTX 780的详细规格。它和GTX Titan一样，都使用了基于“big Kepler”的GK110核心，这颗核心在本刊3月下评测GTX Titan的时候已经有详细介绍。完整版GK110的晶体管数量有71亿个，具备15组SMX、2880个CUDA core、384bit显存位宽、48个ROP单元。不过GT X Titan屏蔽了一组SMX，因此只有2688个CUDA Core。 GTX 780则屏蔽了三组SMX，具备12组SMX，流处理器数量降低到了2304个—这也是目前看到的第4款采用GK110核心的产品。之前已经分别有GTX Titan和针对行业用户的Tesla

版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。 本文链接： https://blog.csdn.net/qq_21368481/article/details/81907244 ———————————————— 转载 注明： 突然想给自己的电脑上tensorflow环境下安装多独立显卡，网上搜索发现这篇文章，该篇文章主要是在windows环境下为tensorflow安装多个独立显卡。 本文逻辑： windows环境下安装多个独立显卡，如果不使用sli技术，则Windows不识别多个独立显卡，但是使用sli技术，则不能指定单独显卡为tensorflow进行计算，因为指定单独显卡后slave显卡的显存占用会和master显卡的显存占用进行同步，也就是即使指定了一个显卡参与运算但是另一个显卡的显存会随之同步变化，本文作者提出一个方法解决这个问题：Windows环境下两显卡进行物理桥接后在软件上关闭桥接功能，便可实现Windows环境下双显卡识别及单显卡指定运算。 原文如下： --------------------------------------- 最近学习TensorFlow，被一些不是bug的问题折腾的头晕脑胀，借此写一下解决方法。本人是在win10下使用TensorFlow的，所以ubuntu下的绕行吧，不会出现这些问题

a = "i love love you you" from collections import Counter dict( Counter(list(a.split())) ) Out[103]: {'i': 1, 'love': 2, 'you': 2} 或者： s = '11AAAdfdfBB' sli = list(s.upper()) sli Out[107]: ['1', '1', 'A', 'A', 'A', 'D', 'F', 'D', 'F', 'B', 'B'] [(i, sli.count(i)) for i in sli] Out[108]: [('1', 2), ('1', 2), ('A', 3), ('A', 3), ('A', 3), ('D', 2), ('F', 2), ('D', 2), ('F', 2), ('B', 2), ('B', 2)] sorted(sliset, key=lambda x:(-x[1])) Out[116]: [('A', 3), ('1', 2), ('D', 2), ('F', 2), ('B', 2)] 来源： https://www.cnblogs.com/douzujun/p/12369416.html

Closed . This question is opinion-based . It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post . Closed 2 months ago . I'm optimizing a directx graphics application to take advantage of nVidia's SLI technology. I'm currently investigating some of the techniques mentioned in their 'Best Practices' web page, but wanted to know what advice/experience any of you have had with this? Thanks! This is not really an answer to you question, more of a comment on SLI. My understanding is that SLI is

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Okay, so I've hit a brick wall. Edit: Using bytes.IndexByte() in my count() function makes it run almost twice as fast. bytes.IndexByte() is written in assembly instead of Go. Still not C speed, but closer. I have two programs, one in C and one in Go that both count newlines in a file. Super simple. The C program runs in ~1.5 seconds, the Go in ~4.25 seconds on a 2.4GB file. Am I hitting Go's speed limit? If so, what , exactly, is causing this? I can read C, but I can't read Assembly so comparing the C's asm and the Go's asm doesn't do much

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Good day, I am trying to display a real-time stereo video using nvidia 3DVision and two IP cameras. I am totally new to DirectX, but have tried to work through some tutorials and other questions on this and other sites. For now, I am displaying two static bitmaps for left and right eyes. These will be replaced by bitmaps from my cameras once I have got this part of my program working. This question NV_STEREO_IMAGE_SIGNATURE and DirectX 10/11 (nVidia 3D Vision) has helped me quite a bit, but I am still struggling to get my program working as

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I use SlidingUpPanelLayout in my project and i have a problem with it. My SlidingUpPanelLayout has 2 children. 1) ListView for showing list of data - this is content 2) LinearLayout with his children (textvien, edittext, button) - this is slide up panel When SlidingUpPanelLayout is showing i try to click on my button, and my SlidingUpPanelLayout immediately close, and i can't click on my button and edittext. How can i get rid of this? how can i setup click/show up panel on some View? thanks! <?xml version="1.0" encoding="utf-8"?>

I am new to CUDA programming, and I am working on a problem that requires multiple GPUs in one machine. I understand that for better graphics programming multiple GPUs need to be combined via SLI. However, for CUDA programming do I need to combine GPUs via SLI as well? No, in general you don't want to use SLI if you plan on using the GPUs for compute instead of pure graphics applications. You will be able to access both GPUs as discrete devices from within your CUDA program. Note that you will need to explicitly divide work between the GPUs. I don't have an explanation for why SLI isn't