Do I use the full potential of my maschine?

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terri
Posts: 5
Joined: Wed Nov 14, 2012 7:20 pm

Do I use the full potential of my maschine?

Post by terri »

Hi,

I am new to Folding and not sure about where this topic belongs, so I posted it here. At first I will post my complete Log here, as I don't know which information you guys need to help me:

Code: Select all

*********************** Log Started 2012-11-14T05:25:03Z ***********************
05:25:03:************************* Folding@home Client *************************
05:25:03:    Website: http://folding.stanford.edu/
05:25:03:  Copyright: (c) 2009-2012 Stanford University
05:25:03:     Author: Joseph Coffland <joseph@cauldrondevelopment.com>
05:25:03:       Args: --child --lifeline 1021 /etc/fahclient/config.xml --run-as
05:25:03:             fahclient --pid-file=/var/run/fahclient.pid --daemon
05:25:03:     Config: /etc/fahclient/config.xml
05:25:03:******************************** Build ********************************
05:25:03:    Version: 7.2.9
05:25:03:       Date: Oct 3 2012
05:25:03:       Time: 13:33:18
05:25:03:    SVN Rev: 3578
05:25:03:     Branch: fah/trunk/client
05:25:03:   Compiler: GNU 4.6.3
05:25:03:    Options: -std=gnu++98 -O3 -funroll-loops -mfpmath=sse -ffast-math
05:25:03:             -fno-unsafe-math-optimizations -msse
05:25:03:   Platform: linux2 3.2.0-2-486
05:25:03:       Bits: 32
05:25:03:       Mode: Release
05:25:03:******************************* System ********************************
05:25:03:        CPU: AMD A8-3850 APU with Radeon(tm) HD Graphics
05:25:03:     CPU ID: AuthenticAMD Family 18 Model 1 Stepping 0
05:25:03:       CPUs: 4
05:25:03:     Memory: 15.77GiB
05:25:03:Free Memory: 15.38GiB
05:25:03:    Threads: POSIX_THREADS
05:25:03: On Battery: false
05:25:03: UTC offset: 1
05:25:03:        PID: 1075
05:25:03:        CWD: /var/lib/fahclient
05:25:03:         OS: Linux 3.2.0-31-generic-pae i686
05:25:03:    OS Arch: X86
05:25:03:       GPUs: 1
05:25:03:      GPU 0: ATI:4 Cedar PRO [Radeon HD 5450]
05:25:03:       CUDA: Not detected
05:25:03:***********************************************************************
05:25:03:<config>
05:25:03:  <!-- Folding Slot Configuration -->
05:25:03:  <gpu v='true'/>
05:25:03:  <smp v='true'/>
05:25:03:
05:25:03:  <!-- Network -->
05:25:03:  <proxy v=':8080'/>
05:25:03:
05:25:03:  <!-- User Information -->
05:25:03:  <team v='223099'/>
05:25:03:  <user v='Martin'/>
05:25:03:
05:25:03:  <!-- Folding Slots -->
05:25:03:  <slot id='0' type='GPU'/>
05:25:03:  <slot id='1' type='SMP'/>
05:25:03:</config>
05:25:03:Switching to user fahclient
05:25:03:Trying to access database...
05:25:03:Successfully acquired database lock
05:25:03:Enabled folding slot 00: READY gpu:0:"Cedar PRO [Radeon HD 5450]"
05:25:03:Enabled folding slot 01: READY smp:4
05:25:03:WU01:FS01:Starting
05:25:03:WU01:FS01:Running FahCore: /usr/bin/FAHCoreWrapper /var/lib/fahclient/cores/www.stanford.edu/~pande/Linux/x86/Core_a4.fah/FahCore_a4 -dir 01 -suffix 01 -version 702 -lifeline 1075 -checkpoint 15 -np 4
05:25:03:WU01:FS01:Started FahCore on PID 1115
05:25:03:WU01:FS01:Core PID:1119
05:25:03:WU01:FS01:FahCore 0xa4 started
05:25:04:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:25:04:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Could not get IP address for assign-GPU.stanford.edu: No address associated with hostname
05:25:04:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:25:04:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Could not get IP address for assign-GPU.stanford.edu: No address associated with hostname
05:25:04:ERROR:WU00:FS00:Exception: Could not get an assignment
05:25:04:WU01:FS01:0xa4:
05:25:04:WU01:FS01:0xa4:*------------------------------*
05:25:04:WU01:FS01:0xa4:Folding@Home Gromacs GB Core
05:25:04:WU01:FS01:0xa4:Version 2.27 (Dec. 15, 2010)
05:25:04:WU01:FS01:0xa4:
05:25:04:WU01:FS01:0xa4:Preparing to commence simulation
05:25:04:WU01:FS01:0xa4:- Looking at optimizations...
05:25:04:WU01:FS01:0xa4:- Files status OK
05:25:04:WU01:FS01:0xa4:- Expanded 2078913 -> 5386224 (decompressed 259.0 percent)
05:25:04:WU01:FS01:0xa4:Called DecompressByteArray: compressed_data_size=2078913 data_size=5386224, decompressed_data_size=5386224 diff=0
05:25:04:WU01:FS01:0xa4:- Digital signature verified
05:25:04:WU01:FS01:0xa4:
05:25:04:WU01:FS01:0xa4:Project: 7809 (Run 5, Clone 427, Gen 4)
05:25:04:WU01:FS01:0xa4:
05:25:04:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:25:04:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Could not get IP address for assign-GPU.stanford.edu: No address associated with hostname
05:25:04:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:25:04:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Could not get IP address for assign-GPU.stanford.edu: No address associated with hostname
05:25:04:ERROR:WU00:FS00:Exception: Could not get an assignment
05:25:04:WU01:FS01:0xa4:Assembly optimizations on if available.
05:25:04:WU01:FS01:0xa4:Entering M.D.
05:25:10:WU01:FS01:0xa4:Using Gromacs checkpoints
05:25:10:WU01:FS01:0xa4:Mapping NT from 4 to 4 
05:25:12:WU01:FS01:0xa4:Resuming from checkpoint
05:25:12:WU01:FS01:0xa4:Verified 01/wudata_01.log
05:25:12:WU01:FS01:0xa4:Verified 01/wudata_01.trr
05:25:12:WU01:FS01:0xa4:Verified 01/wudata_01.xtc
05:25:12:WU01:FS01:0xa4:Verified 01/wudata_01.edr
05:25:13:WU01:FS01:0xa4:Completed 718940 out of 1500000 steps  (47%)
05:25:38:Server connection id=1 on 0.0.0.0:36330 from 127.0.0.1
05:26:04:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:26:05:WU00:FS00:News: Welcome to Folding@Home
05:26:05:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
05:26:05:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:26:05:WU00:FS00:News: Welcome to Folding@Home
05:26:05:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
05:26:05:ERROR:WU00:FS00:Exception: Could not get an assignment
05:26:47:WU01:FS01:0xa4:Completed 720000 out of 1500000 steps  (48%)
05:27:42:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:27:42:WU00:FS00:News: Welcome to Folding@Home
05:27:42:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
05:27:42:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:27:43:WU00:FS00:News: Welcome to Folding@Home
05:27:43:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
05:27:43:ERROR:WU00:FS00:Exception: Could not get an assignment
05:30:19:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:30:19:WU00:FS00:News: Welcome to Folding@Home
05:30:19:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
05:30:19:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:30:20:WU00:FS00:News: Welcome to Folding@Home
05:30:20:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
05:30:20:ERROR:WU00:FS00:Exception: Could not get an assignment
05:34:33:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:34:34:WU00:FS00:News: Welcome to Folding@Home
05:34:34:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
05:34:34:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:34:34:WU00:FS00:News: Welcome to Folding@Home
05:34:34:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
05:34:34:ERROR:WU00:FS00:Exception: Could not get an assignment
05:41:25:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:41:25:WU00:FS00:News: Welcome to Folding@Home
05:41:25:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
05:41:25:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:41:26:WU00:FS00:News: Welcome to Folding@Home
05:41:26:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
05:41:26:ERROR:WU00:FS00:Exception: Could not get an assignment
05:46:13:WU01:FS01:0xa4:Completed 735000 out of 1500000 steps  (49%)
05:52:30:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
05:52:30:WU00:FS00:News: Welcome to Folding@Home
05:52:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
05:52:30:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
05:52:31:WU00:FS00:News: Welcome to Folding@Home
05:52:31:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
05:52:31:ERROR:WU00:FS00:Exception: Could not get an assignment
06:05:47:WU01:FS01:0xa4:Completed 750000 out of 1500000 steps  (50%)
06:10:27:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
06:10:28:WU00:FS00:News: Welcome to Folding@Home
06:10:28:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
06:10:28:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
06:10:29:WU00:FS00:News: Welcome to Folding@Home
06:10:29:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
06:10:29:ERROR:WU00:FS00:Exception: Could not get an assignment
06:25:14:WU01:FS01:0xa4:Completed 765000 out of 1500000 steps  (51%)
06:39:29:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
06:39:29:WU00:FS00:News: Welcome to Folding@Home
06:39:29:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
06:39:29:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
06:39:30:WU00:FS00:News: Welcome to Folding@Home
06:39:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
06:39:30:ERROR:WU00:FS00:Exception: Could not get an assignment
06:44:40:WU01:FS01:0xa4:Completed 780000 out of 1500000 steps  (52%)
07:04:06:WU01:FS01:0xa4:Completed 795000 out of 1500000 steps  (53%)
07:23:33:WU01:FS01:0xa4:Completed 810000 out of 1500000 steps  (54%)
07:26:28:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
07:26:28:WU00:FS00:News: Welcome to Folding@Home
07:26:28:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
07:26:28:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
07:26:29:WU00:FS00:News: Welcome to Folding@Home
07:26:29:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
07:26:29:ERROR:WU00:FS00:Exception: Could not get an assignment
07:42:57:WU01:FS01:0xa4:Completed 825000 out of 1500000 steps  (55%)
08:02:23:WU01:FS01:0xa4:Completed 840000 out of 1500000 steps  (56%)
08:21:49:WU01:FS01:0xa4:Completed 855000 out of 1500000 steps  (57%)
08:41:16:WU01:FS01:0xa4:Completed 870000 out of 1500000 steps  (58%)
08:42:29:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
08:42:30:WU00:FS00:News: Welcome to Folding@Home
08:42:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
08:42:30:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
08:42:30:WU00:FS00:News: Welcome to Folding@Home
08:42:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
08:42:30:ERROR:WU00:FS00:Exception: Could not get an assignment
09:00:39:WU01:FS01:0xa4:Completed 885000 out of 1500000 steps  (59%)
09:20:04:WU01:FS01:0xa4:Completed 900000 out of 1500000 steps  (60%)
09:39:28:WU01:FS01:0xa4:Completed 915000 out of 1500000 steps  (61%)
09:58:55:WU01:FS01:0xa4:Completed 930000 out of 1500000 steps  (62%)
10:18:22:WU01:FS01:0xa4:Completed 945000 out of 1500000 steps  (63%)
10:37:48:WU01:FS01:0xa4:Completed 960000 out of 1500000 steps  (64%)
10:45:28:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
10:45:29:WU00:FS00:News: Welcome to Folding@Home
10:45:29:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
10:45:29:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
10:45:30:WU00:FS00:News: Welcome to Folding@Home
10:45:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
10:45:30:ERROR:WU00:FS00:Exception: Could not get an assignment
10:57:12:WU01:FS01:0xa4:Completed 975000 out of 1500000 steps  (65%)
11:16:35:WU01:FS01:0xa4:Completed 990000 out of 1500000 steps  (66%)
******************************** Date: 14/11/12 ********************************
11:36:00:WU01:FS01:0xa4:Completed 1005000 out of 1500000 steps  (67%)
11:55:25:WU01:FS01:0xa4:Completed 1020000 out of 1500000 steps  (68%)
12:14:48:WU01:FS01:0xa4:Completed 1035000 out of 1500000 steps  (69%)
12:34:11:WU01:FS01:0xa4:Completed 1050000 out of 1500000 steps  (70%)
12:53:35:WU01:FS01:0xa4:Completed 1065000 out of 1500000 steps  (71%)
13:13:01:WU01:FS01:0xa4:Completed 1080000 out of 1500000 steps  (72%)
13:32:27:WU01:FS01:0xa4:Completed 1095000 out of 1500000 steps  (73%)
13:51:55:WU01:FS01:0xa4:Completed 1110000 out of 1500000 steps  (74%)
14:04:29:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
14:04:30:WU00:FS00:News: Welcome to Folding@Home
14:04:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
14:04:30:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
14:04:30:WU00:FS00:News: Welcome to Folding@Home
14:04:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
14:04:30:ERROR:WU00:FS00:Exception: Could not get an assignment
14:11:22:WU01:FS01:0xa4:Completed 1125000 out of 1500000 steps  (75%)
14:30:45:WU01:FS01:0xa4:Completed 1140000 out of 1500000 steps  (76%)
14:50:11:WU01:FS01:0xa4:Completed 1155000 out of 1500000 steps  (77%)
15:09:36:WU01:FS01:0xa4:Completed 1170000 out of 1500000 steps  (78%)
15:29:00:WU01:FS01:0xa4:Completed 1185000 out of 1500000 steps  (79%)
15:48:24:WU01:FS01:0xa4:Completed 1200000 out of 1500000 steps  (80%)
16:07:48:WU01:FS01:0xa4:Completed 1215000 out of 1500000 steps  (81%)
16:27:12:WU01:FS01:0xa4:Completed 1230000 out of 1500000 steps  (82%)
16:46:34:WU01:FS01:0xa4:Completed 1245000 out of 1500000 steps  (83%)
17:05:58:WU01:FS01:0xa4:Completed 1260000 out of 1500000 steps  (84%)
17:25:23:WU01:FS01:0xa4:Completed 1275000 out of 1500000 steps  (85%)
******************************** Date: 14/11/12 ********************************
17:44:48:WU01:FS01:0xa4:Completed 1290000 out of 1500000 steps  (86%)
18:04:12:WU01:FS01:0xa4:Completed 1305000 out of 1500000 steps  (87%)
18:23:38:WU01:FS01:0xa4:Completed 1320000 out of 1500000 steps  (88%)
18:43:05:WU01:FS01:0xa4:Completed 1335000 out of 1500000 steps  (89%)
19:02:32:WU01:FS01:0xa4:Completed 1350000 out of 1500000 steps  (90%)
19:24:23:WU01:FS01:0xa4:Completed 1365000 out of 1500000 steps  (91%)
19:26:29:WU00:FS00:Connecting to assign-GPU.stanford.edu:80
19:26:30:WU00:FS00:News: Welcome to Folding@Home
19:26:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:80': Empty work server assignment
19:26:30:WU00:FS00:Connecting to assign-GPU.stanford.edu:8080
19:26:30:WU00:FS00:News: Welcome to Folding@Home
19:26:30:WARNING:WU00:FS00:Failed to get assignment from 'assign-GPU.stanford.edu:8080': Empty work server assignment
19:26:30:ERROR:WU00:FS00:Exception: Could not get an assignment
With this system, I reach 5500 PPD at an average. I first thought this was good, but than I tried the client with my MacBook Pro (Late 2011, Basic 13''-Modell with no upgrades) and got 2500-5000 PPD. I thought this PC will be a lot faster, but appearently it is not. The CPUs always work at 100%, but the GPU always says "Ready" instead of "running". Furthermore I have a lot of free RAM, can I fold faster by using more of it?

Generally I am fascinated by this project, I created a Team and trying to convince some of my friends to join me. :D
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kiore
Posts: 924
Joined: Fri Jan 16, 2009 5:45 pm
Location: USA

Re: Do I use the full potential of my maschine?

Post by kiore »

You are running in Linux? There is currently no GPU Linux client, although this is definitely on many peoples wish list.
Welcome to the forum and good to see your enthusiasm starting a team, it can be a bit dispiriting trying to encourage people to share your vision, but stick with it you can never tell who might be inspired to share your "intrigue".
Image
i7 7800x RTX 3070 OS= win10. AMD 3700x RTX 2080ti OS= win10 .

Team page: https://www.rationalskepticism.org/viewtopic.php?t=616
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Zagen30
Posts: 823
Joined: Tue Mar 25, 2008 12:45 am
Hardware configuration: Core i7 3770K @3.5 GHz (not folding), 8 GB DDR3 @2133 MHz, 2xGTX 780 @1215 MHz, Windows 7 Pro 64-bit running 7.3.6 w/ 1xSMP, 2xGPU

4P E5-4650 @3.1 GHz, 64 GB DDR3 @1333MHz, Ubuntu Desktop 13.10 64-bit

Re: Do I use the full potential of my maschine?

Post by Zagen30 »

Regarding ram usage, F@h will use as much as it needs, no more, so there's no way to tell it to use extra. For regular SMP work, this max is at most around 100 MB, and it's usually more on the order of 50 MB; how it uses much depends on the WU it's crunching. There is a class of projects termed "bigadv" that can use on the order of GB of ram, but they're restricted to machines with at least 16 cores, and again the client will automatically use as much as it needs.
Image
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terri
Posts: 5
Joined: Wed Nov 14, 2012 7:20 pm

Re: Do I use the full potential of my maschine?

Post by terri »

So I could fold a lot more if I installed Windows on my machine? How much faster would it be? Something like a factor 2?

I can get Windows for free from my university, so it would not be a problem.
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csvanefalk
Posts: 147
Joined: Mon May 21, 2012 10:28 am

Re: Do I use the full potential of my maschine?

Post by csvanefalk »

terri wrote:So I could fold a lot more if I installed Windows on my machine? How much faster would it be? Something like a factor 2?
I can get Windows for free from my university, so it would not be a problem.
You will get the GPU slot running, which will account for the most significant boost in work done. I am not sure how much you could expect from a Radeon 5xxx, but I am sure one of the more GPU savvy folders can look into that for you.

As far as SMP goes, my impression has been that it generally runs SLOWER on Windows than Linux, just how much I cannot say.
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bruce
Posts: 20824
Joined: Thu Nov 29, 2007 10:13 pm
Location: So. Cal.

Re: Do I use the full potential of my maschine?

Post by bruce »

I have a low-end HD5xxx GPU on a rather old Intel Quad. If I enable the GPU and change SMP:4 to SMP:3 so there's a free CPU to support the GPU, I gain some throughput from the GPU and loose some to the fact that SMP is now slowing to 75% of the previous throughput. The net gain is quite small but it's positive. If I had a high-end HD5xxx, there would be a bigger gain from the GPU and it would certainly be a wise choice. In my case, it's not worth the occasional problems I've had with screen lag. There's no unequivocal answer to what would be best for you without actually testing it on your hardware.
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Nathan_P
Posts: 1165
Joined: Wed Apr 01, 2009 9:22 pm
Hardware configuration: Asus Z8NA D6C, 2 x5670@3.2 Ghz, , 12gb Ram, GTX 980ti, AX650 PSU, win 10 (daily use)

Asus Z87 WS, Xeon E3-1230L v3, 8gb ram, KFA GTX 1080, EVGA 750ti , AX760 PSU, Mint 18.2 OS

Not currently folding
Asus Z9PE- D8 WS, 2 E5-2665@2.3 Ghz, 16Gb 1.35v Ram, Ubuntu (Fold only)
Asus Z9PA, 2 Ivy 12 core, 16gb Ram, H folding appliance (fold only)
Location: Jersey, Channel islands

Re: Do I use the full potential of my maschine?

Post by Nathan_P »

csvanefalk wrote: As far as SMP goes, my impression has been that it generally runs SLOWER on Windows than Linux, just how much I cannot say.
Tpf on my linux machine is generally 10seconds less on my linux rig vs my windows rig. Both rigs have the same cpu's and mobo's. The linux box has the slower RAM.

The PPD difference is anything from 2k to 10k in the linux box's favour
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