GTX980 入手,有沒有項目介紹給我?

凸手1 · 发表于 2014-9-26 01:09:44

本帖最后由凸手1 于 2014-10-17 13:01 编辑

GTX980 人手,有沒有項目介紹給我?
介紹幾個項目,跑幾個WU看看分數如何
港幣4399 GALAX GTX980

FIRE STRIKE
SCORE
10686 with NVIDIA GeForce GTX 980(1x) and Intel Xeon Processor E3-1245V2
http://www.3dmark.com/3dm/4155239

FIRE STRIKE EXTREME
5537 with NVIDIA GeForce GTX 980(1x) and Intel Xeon Processor E3-1245V2
http://www.3dmark.com/3dm/4155301

16/10/2014 23:20:02 |  | CUDA: NVIDIA GPU 0: GeForce GTX 980 (driver version 344.16, CUDA version 6.5, compute capability 5.2, 4096MB, 2820MB available, 7468 GFLOPS peak)
16/10/2014 23:20:02 |  | OpenCL: NVIDIA GPU 0: GeForce GTX 980 (driver version 344.16, device version OpenCL 1.1 CUDA, 4096MB, 2820MB available, 7468 GFLOPS peak)

WU:
PG:
574610310       406417978       419465       25 Sep 2014 | 17:16:48 UTC       25 Sep 2014 | 17:26:05 UTC       Completed and validated       544.43       84.26       3,371.00       PPS (Sieve) v1.39 (cudaPPSsieve)
574609199       406417557       419465       25 Sep 2014 | 17:16:48 UTC       25 Sep 2014 | 17:35:12 UTC       Completed and validated       543.31       85.66       3,371.00       PPS (Sieve) v1.39 (cudaPPSsieve)
574556672       398747693       419465       25 Sep 2014 | 17:16:48 UTC       1 Oct 2014 | 5:59:00 UTC       Completed and validated       476,533.10       3,448.32       607,885.03       Genefer (World Record) v3.01 (cudaGFNWR)
575476365       406043384       419465       1 Oct 2014 | 6:15:43 UTC       3 Oct 2014 | 7:44:23 UTC       Completed and validated       25,644.42       25,571.75       31,178.17       Genefer v3.03 (OCLcudaGFN)
574624677       406423922       419465       1 Oct 2014 | 6:15:43 UTC       3 Oct 2014 | 0:35:52 UTC       Completed and validated       27,854.55       27,750.68       31,186.12       Genefer v3.03 (OCLcudaGFN)

GPUGrid:
GPUGrid未能100%使用GPU,大約只使用了80%

13157980

10129405

164966

1 Oct 2014 | 21:22:42 UTC

2 Oct 2014 | 5:23:06 UTC

Completed and validated

17,137.79

6,021.62

31,500.00

Short runs (2-3 hours on fastest card) v8.46 (cuda65)

13177837       10126079       164966       7 Oct 2014 | 8:41:12 UTC       7 Oct 2014 | 15:15:53 UTC       Completed and validated       22,058.78       4,315.41       163,500.00       Long runs (8-12 hours on fastest card) v8.46 (cuda65)
13177625       10144422       164966       7 Oct 2014 | 8:41:12 UTC       7 Oct 2014 | 21:17:18 UTC       Completed and validated       21,993.10       4,272.09       159,000.00       Long runs (8-12 hours on fastest card) v8.46 (cuda65)

POEM@HOME 因為一個WU 只用了50%~70%, 所以我設定了app_config 同時跑四個,大家以平均數計算好了

139958006       128880459       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 14:30:52 UTC       Completed and validated       8,869.77       8,851.53       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139958000       128880453       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 23:07:06 UTC       Completed and validated       9,343.55       9,333.54       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957998       128880451       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 19:21:27 UTC       Completed and validated       9,133.84       9,117.35       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957995       128880448       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 12:46:05 UTC       Completed and validated       8,567.03       8,537.64       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957993       128880446       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 12:46:05 UTC       Completed and validated       8,173.70       8,145.03       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957988       128880441       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 19:36:23 UTC       Completed and validated       9,150.67       9,139.74       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957970       128880423       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 16:49:09 UTC       Completed and validated       9,093.97       9,070.02       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957967       128880420       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 23:07:06 UTC       Completed and validated       9,357.58       9,347.85       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957955       128880408       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 12:46:05 UTC       Completed and validated       8,572.07       8,544.03       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)
139957952       128880405       175881       2 Oct 2014, 8:06:47 UTC       2 Oct 2014, 19:35:24 UTC       Completed and validated       9,142.71       9,130.90       6,500.00       POEM++ OpenCL version v2.01 (opencl_nvidia_100)

Milkyway@Home
849200467       630900923       552897       12 Oct 2014, 7:22:33 UTC       12 Oct 2014, 8:29:12 UTC       Completed and validated       288.23       48.64       213.76       Milkyway@Home Separation (Modified Fit) v1.36 (opencl_nvidia_101)
849200469       630900925       552897       12 Oct 2014, 7:22:33 UTC       12 Oct 2014, 8:05:03 UTC       Completed and validated       288.25       47.81       213.76       Milkyway@Home Separation (Modified Fit) v1.36 (opencl_nvidia_101)
849200470       630900926       552897       12 Oct 2014, 7:22:33 UTC       12 Oct 2014, 8:17:09 UTC       Completed and validated       287.27       47.55       213.76       Milkyway@Home Separation (Modified Fit) v1.36 (opencl_nvidia_101)
849200982       630725279       552897       12 Oct 2014, 7:22:33 UTC       12 Oct 2014, 8:38:14 UTC       Completed and validated       144.13       24.13       106.88       MilkyWay@Home v1.02 (opencl_nvidia)
849200986       630869268       552897       12 Oct 2014, 7:22:33 UTC       12 Oct 2014, 8:09:54 UTC       Completed and validated       144.17       23.57       106.88       MilkyWay@Home v1.02 (opencl_nvidia)
849200987       630892967       552897       12 Oct 2014, 7:22:33 UTC       12 Oct 2014, 7:46:20 UTC       Completed and validated       116.14       25.58       106.88       MilkyWay@Home v1.02 (opencl_nvidia)

xiening813 · 发表于 2014-9-26 01:26:08

GPUGRID

woozhou · 发表于 2014-9-26 08:40:42

加油

Schumacher · 发表于 2014-9-26 09:45:58

Einstein, SETI, Primegrid这几个必跑阿。

凸手1 · 发表于 2014-9-26 12:12:36

本帖最后由凸手1 于 2014-9-26 12:15 编辑

PG
574637454       406428857       176336       25 Sep 2014 | 19:31:31 UTC       25 Sep 2014 | 21:06:30 UTC       Completed, waiting for validation       1,896.84       1,143.96       pending       PPS (Sieve) v1.40 (atiPPSsieve)
574634664       406427794       176336       25 Sep 2014 | 19:31:31 UTC       25 Sep 2014 | 21:38:09 UTC       Completed, waiting for validation       1,897.73       1,146.62       pending       PPS (Sieve) v1.40 (atiPPSsieve)
574610310       406417978       419465       25 Sep 2014 | 17:16:48 UTC       25 Sep 2014 | 17:26:05 UTC       Completed, waiting for validation       544.43       84.26       pending       PPS (Sieve) v1.39 (cudaPPSsieve)
574609199       406417557       419465       25 Sep 2014 | 17:16:48 UTC       25 Sep 2014 | 17:35:12 UTC       Completed and validated       543.31       85.66       3,371.00       PPS (Sieve) v1.39 (cudaPPSsieve)

CUDA是GTX980, ATI的是HD6970

leawind · 发表于 2014-9-26 13:02:50

980双精度多少？

凸手1 · 发表于 2014-9-26 13:37:19

得益于生产经验累积所带来的可制造性要素提升，GeForce GTX 980的默认核心及显存运行频率提升到了1126/7008MHz。随着ROP以及频率的提升，其默认Pixel Fillrate能力提升到了72Gpixels/S，默认Texture Fillrate能力为144.1G/S，显存带宽224GB/S。GeForce GTX 980拥有4.6T Flops/S的单精度浮点运算能力，但受限于游戏旗舰显卡的定位，NVIDIA对其生产力属性，也就是双精度浮点运算能力进行了限制，GeForce GTX 980保留了1/32速DP的运算特征，双精度浮点运算能力为143G Flops/S。

http://vga.zol.com.cn/479/4799172.html

金鹏 · 发表于 2014-9-26 14:46:25

跑FAH的V7客户端下CORE17 18包,PPD30-40万
980单精度大亮啊,FAH利器

zflowers · 发表于 2014-9-26 17:49:17

求ppd

woaiwinnie2 · 发表于 2014-9-26 21:41:14

我还以为我看错了，原来真的是人（ren）手

凸手1 · 发表于 2014-9-27 00:31:38

woaiwinnie2 发表于 2014-9-26 21:41
我还以为我看错了，原来真的是人（ren）手

........速成輸入法的習慣

cicikml · 发表于 2014-9-27 22:45:07

Folding@home项目是最好的选择。
GTX980的双精度差，而FAH项目只进行单精度计算，所以比较划算，而且还是生命科学类项目。

凸手1 · 发表于 2014-9-28 12:30:26

cicikml 发表于 2014-9-27 22:45
Folding@home项目是最好的选择。
GTX980的双精度差，而FAH项目只进行单精度计算，所以比较划算，而且还是生 ...

我只有在PS3上跑FAH,不打算在電腦上跑非BOINC的項目

wpf999 · 发表于 2014-9-28 21:41:44

PS3还能跑fah么，不是都没有包了么

凸手1 · 发表于 2014-9-28 23:48:22

wpf999 发表于 2014-9-28 21:41
PS3还能跑fah么，不是都没有包了么

所以都停止了.....

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GTX980 入手,有沒有項目介紹給我?

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