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关于目前的gpu客户端不支持fermi的问题

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发表于 2010-5-8 20:56:54 | 显示全部楼层 |阅读模式
目前fah的gpu客户端不支持fermi,会是什么原因?
fermi硬件本身和上一代显卡是兼容的,我估计这只是一个软限制。大致流程应该是软件初始化的时候读取显卡的版本号X,当X在A到B之间就认为通过,而fermi的版本号也许正好大于B所以就不行。如果是这样,那么找一个反汇编工具对fah可执行文件作个简单修改,也许就可以支持fermi了。还有一个办法是修改显卡驱动,让fermi返回一个比较低的版本号。估计nv那个离线包用的是这个方法。大家觉得是不是这样。
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发表于 2010-5-8 22:44:50 | 显示全部楼层
这个不好说,兄弟耐心等待GPU3吧


OCTOBER 22, 2009
Updates on new cores: Protomol and GPU3 core

There has been a lot of work on updating the Protomol core to bring it in line with the other cores in Folding@home.  I'm happy to say that a lot of progress has been made and it's looking much better.  Joe will continue to test it, but it looks close to be moving to the next levels of QA.

The GPU3 core is also moving along.  It will be called core_15 (the natural next number in the GPU series).  The main changes there have been to incorporate the updated GPU code from OpenMM.  OpenMM was based on our FAH GPU MD code to start, but has had several enhancements and additions.  In particular, it should be much more stable than the previous FAH GPU MD cores.  However, this stability does come at a mild cost in performance.  We will address this at the benchmarking stage, since all core 15 (GPU3) projects will start fresh, not continuing existing projects.



April 24, 2010
Prepping for the GPU3 rolling: new client and NVIDIA FAH GPU clients will (in the future) need CUDA 2.2 or later

As we've discussed in previous posts, due to its great computational abilities, our GPU client has had a great scientific impact so far.  In our most recent FAH paper (also see the movie), the GPU clients play a star role in allowing Folding@home to push to unprecedented levels, simulating protein folding on the millisecond timescale in an atomistic model.

We are prepping for the rollout of the next generation GPU client (GPU3).  As mentioned in previous posts, GPU3 will allow for greatly enhanced science (including more accurate models, new science can be done, 2x faster execution of the science, more stable simulations, OpenCL support for run time science optimizations, and greater flexibility for adding new scientific capability).  This is accomplished through the use of the OpenMM GPU library (which originally came from FAH GPU code, but has been significantly enhanced by Simbios staff).

We would like to give donors a heads up of what's coming.  We are doing internal testing now and will do closed beta testing hopefully soon.  With the rollout of the new GPU3/OpenMM-based core (core15) for NVIDIA GPU clients, we will need donors to do two software installs (please note that this is not required to be done immediately, since the new client is not openly available):

1) In order to get WUs using this new core, donors will need to make sure their CUDA level is least CUDA 2.2, but ideally 2.3 or the most recent.  To know which version of CUDA you have, you can find out based on your driver version:

CUDA 2.0: 177.35+
CUDA 2.1: 180.60+
CUDA 2.2: 185.85+
CUDA 2.3: 190.38+
CUDA 3.0/OpenCL: 195.36+

2) A new client will be needed to access GPU3 WUs.  This new client will report the CUDA level to the assignment server, so it can assign around machines with less capable CUDA levels.  Note that "assigning around" the issue means that if your client can't do the work available, it won't be assigned a WU, so it's best to make sure your CUDA drivers are reasonably updated.  We feel this is better than giving a WU which will crash the core, etc.

While the new client has not been openly released yet, we wanted to give this heads up to donors so they have time to upgrade their drivers.  

Thanks to all of the GPU folders.  We have done some great work so far and the best results are yet to come!
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发表于 2010-5-8 23:13:14 | 显示全部楼层
Fermi的存储结构变了,双精度GT200就有了FAH到现在也没有优化,所以事实上要复杂很多。
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发表于 2010-5-9 00:18:02 | 显示全部楼层
lz的思路可行,期待有人测试,GTX480就可以偷跑
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