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发表于 2008-4-25 10:29:00
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April 22, 2008
New rules for advanced methods (-adv flag)
In the near future, we will be releasing some new projects which require a very rapid turn-around time. These are peptide fragment simulations which we are interested in simulating for a time-sensitive collaborative project involving protein structure prediction.
These WUs will go directly to the classic clients running with -advmethods. Non-classic clients (eg SMP, GPU, PS3) will not be affected, as all of these calculations will be run via the AMBER core and only the classic client supports the AMBER core.
To reward users for participating in this exciting project, we will be giving a x1.5 bonus in the points awarded. What's the catch? These projects will be less rigorously beta tested, so there will be an increased risk of Early_Unit_End errors. We believe the risk of this is minor (there will likely be a higher rate of early unit ends, especially very early in the WU, but we do not expect client machines to become significantly less stable). However, if you do not wish to participate in this project, just remove the -advmethods setting from your client.
This will not last forever and will likely go back to normal -advmethods usage in a few months. With that said, we do plan other uses for -adv in the future.
Note: the text was updated to clarify that this is classic clients only.
大意:
接下来的几个月我们会发布一个测试子项目--模拟缩氨酸片段,它们的过期期限很短,而且由于没有经过详细的测试,很可能会出问题,不过为了补偿用户,我会给这些任务以1.5倍的积分。
如果你想参加这些子项目,请打开-advmethods参数。只有标准客户端能参加(SMP, GPU, PS3都不行)。以后还会有类似的任务。
April 23, 2008
Folding@home and Simbios
We've teamed up with Simbios (an NIH Roadmap center at Stanford) to start making key technologies in Folding@home available for others to use. Our protein folding work has been named one of Simbios' key Driving Biology Problems (DBPs) and there's now a protein folding DBP page. Our hope is that our developments which have been so useful in Folding@home can help accelerate the work of others as well. Right now, there are two key areas we've been working to distribute, with more coming along the way.
First, we're working to make our GPU code available to others. This code will be distributed in a couple of forms. First, we'll give out a GPU-enabled version of Gromacs (basically, a standalone version of the GPU2 core), which will enable others to get major speed increases from GPUs. Next, we are working to release a GPU-enabled library (OpenMM), which will allow others to integrate GPU code into their programs. OpenMM is special in that it is a place for integrating both application developers as well as GPU vendors; much like OpenGL, our hope is that hardware acceleration vendors will now have a single API to accelerate and people who want to write applications will have a single, hardware accelerated API to use that would work on a variety of platforms.
Second, we're also starting to make large data sets from Folding@home available to others. You can see some of the first data sets on this project page, and we expect to put more data up as time goes on. Folding@home donors have generated wonderful data sets that aren't possible to generate by other means, and our hope is to publish them so that other scientists can data mine them for other purposes as well.
Finally, we expect to release more technologies from FAH. In particular, we will be releasing some of the key server-side algorithms which allow FAH to use lots of processors to tackle single complex problems. This will allow people to run massively parallel code on large clusters to do tasks similar to FAH (albeit on a smaller scale).
大意:
FAH与Simbios合作,扩大FAH的应用范围。
首先,会扩大GPU代码应用范围。会把GPU代码提取出来做一个单独的API库OpenMM。
其次,公开结果数据,供科研用。
最后,会开放某些算法,尤其是服务器端的并行算法。 |
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