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ATI/AMD GPU Folding@Home科學計算性能比IBM Cell還強

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1#
发表于 2007-3-23 19:21 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式
PS3 7785 CPUs,191 T Flops(0.024 T Flops/per unit)
GPU 678 CPUs,40 T Flops (0.058 TFlops/per unit)

w00t)
2#
发表于 2007-3-23 23:14 | 只看该作者
w00t) 当然
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3#
发表于 2007-3-23 23:58 | 只看该作者
Active CPUS are defined as those which have returned WUs within 50 days.
Active GPUs are defined as those which have returned WUs within 10 days (due to the shorter deadlines on GPU WUs).
Active PS3's are defined as those which have returned WUs within 2 days.

論期望值的話.... :loveliness:
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hdht 该用户已被删除
4#
发表于 2007-3-24 00:08 | 只看该作者
提示: 作者被禁止或删除 内容自动屏蔽
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5#
发表于 2007-3-24 00:15 | 只看该作者
原帖由 hdht 于 2007-3-24 00:08 发表
难道现在PS3已经是folding@home的最大计算能力的来源了?

怪不得斯坦福很高兴

说明买游戏机的比买顶级显卡的多得多
不过随着G8x、R6xx的发布,这种状况应该会逐渐改观,毕竟GPU的FLOPS实在远胜CPU
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6#
发表于 2007-3-24 01:11 | 只看该作者
原帖由 killpmp 于 2007-3-24 00:15 发表

说明买游戏机的比买顶级显卡的多得多
不过随着G8x、R6xx的发布,这种状况应该会逐渐改观,毕竟GPU的FLOPS实在远胜CPU


可是,衝量的話還是PS3這種client比較方便吧.... :)

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

Active CPUS are defined as those which have returned WUs within 50 days. Active GPUs are defined as those which have returned WUs within 10 days (due to the shorter deadlines on GPU WUs). Active PS3's are defined as those which have returned WUs within 2 days.

*TFLOPS is actual flops from the software cores, not the peak values from CPU/GPU/PS3 specs. We take a conservative approach to FLOP calculation, rendering quantities such as exp(x) or sqrt(x) as a single FLOP, if the hardware supports it. This can significantly underestimate the FLOP count (as others would count an exp(x) as 10 or 20 FLOPS, for example). Others take a much less conservative approach and we are considering giving two counts, adding a more traditional (less conservative) count as well.

把Stanford的人逼出來澄清啦....:)

[ 本帖最后由 Eji 于 2007-3-24 01:29 编辑 ]
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7#
发表于 2007-3-24 08:53 | 只看该作者
http://forum.folding-community.org/ftopic18711.html

Those numbers were an early estimate and we've since then estimated flops more conservatively. One major issue is how to count flops. We actually do so very conservatively these days for the GPU and PS3 ports to keep these numbers from getting out of hand and in order to be able to trivially backup our statements.

The challenge with flops is how you define a flop. a+b is one flop, that's easy, but what about sqrt(a) or exp(a) or 1/sqrt(a)? There's different hardware to take care of this and we've been treating this as a single flop on the PS3 and GPU, whereas others would treat this as many (10-20) flops (eg see http://ai.stanford.edu/~paskin/slam/javadoc/javaslam/util/Flops.html#exp() ).

We've updated the FAQ to agree with this style of flop counting that we're doing now. If we were to implement something along the scheme of our link, the flops would go way up, easily by a factor of 4x or even more. However, as we start to get into the stratosphere with our total flop count, a conservative approach now will avoid naysayers in the future. We may also choose to revisit our flop counting, perhaps to make it in line with the less conservative approach taken by most other people. That would greatly increase the flop count from there.
_________________
Professor Vijay S. Pande, PhD
Director, Folding@Home Distributed Computing Project, and
Associate Professor of Chemistry and of Structural Biology, Stanford University
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8#
发表于 2007-3-24 16:52 | 只看该作者
好强!!!!!!!!!!!!!!!!!!!
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9#
发表于 2007-3-24 16:55 | 只看该作者
记得以前R5XX也能跑这个计算
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10#
发表于 2007-3-24 18:02 | 只看该作者
再强又有啥用,老百姓又用不着:lol:
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11#
发表于 2007-3-24 22:11 | 只看该作者
原帖由 farter 于 2007-3-24 18:02 发表
再强又有啥用,老百姓又用不着:lol:


有啊,如果SONY把FAH弄成"算幾個WU,就可以換PS Store幾個點數"的話,就等於是用電費買PS Store點數啦。
然後就可以拿去買下載遊戲....然後對stanford也可以談一些額外的效能利用交換.... 再外加SETI也開始考慮做PS3 client了。

這樣處理就不得了啦。XD
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12#
发表于 2007-3-24 23:50 | 只看该作者
儿子的东西居然超过干爹的,怪不得现在R600害死出不来~ (_(
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13#
发表于 2007-3-24 23:59 | 只看该作者
PS3应该RSX+CELL,应该是最强啊
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14#
发表于 2007-3-25 03:03 | 只看该作者
原帖由 iiiiuuuu 于 2007-3-24 23:59 发表
PS3应该RSX+CELL,应该是最强啊


RSX正在畫那個1080p、有HDR、標出目前其它PS3位置的地球儀、可以轉來轉去看蛋白質分子模型的畫面....XD

----
話說有人提到要拿XBOX360來跑Folding @ Home,不過以目前的成績來看它還蠻吃記憶體頻寬的,
又要畫畫面、又要放結果,應該會把記憶體頻寬分掉不少吧?
以PS3的25.6GB/s,實際結果約24GFLOPS的狀況下,繪圖部分單獨記憶體的成果是已經出來了。
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