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BOINC phone performance chart - Page 6

post #51 of 66
Quote:
Originally Posted by tictoc View Post

Looking on the rosetta forums, and elsewhere, the computation errors seem to be pretty wiidespread on a bunch of different ARM hardare. Once the Pentathlon is over, I will work on getting the [Info] List of BOINC Projects thread updated.

I wonder if that is because when WU's start they generate some large files and the cell phone probably has shizno write speed and/or not enough flash space, causing them to time out. If they are similar to desktop WU's that might be the case anyway.
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post #52 of 66
Got a free wifi connection in Benton, AR, downloaded and running first Rosetta task...

We will see...

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post #53 of 66
Well, looks like I made 950+ points so far using 3 of 6 cores on my LG G4...

LOL!

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https://boinc.bakerlab.org/rosetta/results.php?hostid=2741456
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post #54 of 66
Quote:
Originally Posted by Tex1954 View Post

Well, looks like I made 950+ points so far using 3 of 6 cores on my LG G4...

LOL!

biggrin.gif

https://boinc.bakerlab.org/rosetta/results.php?hostid=2741456

I am a little underwhelmed at the output of my snap dragons. They are averaging 150 - 200 ppd and using about 3 watts.
post #55 of 66
Well, for fun I fired up BOINC on my two personal phones... My older one (Samsung Galaxy S3) and my current one (HTC One M8). Any tricks on how to make them run on all cores, instead of using my main overall settings, or do I have to change things on the website to 100% cpu usage and then in BOINCtasks set things to 75% for the 4770k?

Haven't checked on the progress for the HTC yet since it's only been running for 20 minutes or so, but with my Samsung it's looking like it will take around 8.5-9 hours per task.

EDIT: Nevermind, I figured it out. Set 100% in BOINC computing preferences, then 75% in BOINCtasks. Now the fun part is just getting BOINCtasks to see my Android phones, but I'll live if they aren't seen.
Edited by WhiteWulfe - 6/20/16 at 9:20pm
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post #56 of 66
It's been a few days, so figure I'd post an update. I've switched from Einstein@Home to running Rosetta@Home on my two phones as the performance difference between the phones and the IGP on my 4770k were just too different (aka Android seemed to just not put out anywhere something decent for points). Just to add to the info though, here's what I managed with my two phones:

Samsung Galaxy S3 calculated 7 tasks one at a time, with an average completion time of 29,875 seconds in order to get a grand total of 437.5 points. Factoring in that such is 58.09 hours, that's all of 180.75 PPD if I did my math correctly.
HTC One M8 calculated 14 tasks two at a time, with an average completion time of 27,024.83 seconds in order to get a grand total of 875 points. Factoring in that such is 52.55 hours, that's all of 399.62 PPD if I did my math correctly.

For however much my chargers pull from the wall, that seems like a pretty good deal.... Until you realize that my IGP alone averages approximately 8,313 PPD or so. Is it worth it? Well, it's science either way, but given that my HTC is off the charger for half the day or more, I don't know if I'd consider it a worthwhile endeavour or not. For a phone just lying around, sure, but I don't know if I'd go out and buy one, or use the preliminary data from my phones to justify the purchase of something like an ODroid or such.




With Rosetta@Home however, preliminary data is showing something rather interesting..... Actually, I'll call it really interesting.

I've only processed two work units on the Galaxy S3 so far, but averaging out the data shows a work unit taking 9312.96 seconds and providing an average of 68.09 points, thereby giving a potential of 631.88 PPD. I'll have to revisit this after a dozen or so work units have gone through, because cpu times and given credits are too wild at this time to come to even a basic conclusion.
With the HTC One M8, so far I've only processed one work unit, and it took 19,285.62 seconds and provided 91.67 credit. Such data would provide a theoretical 821.37 PPD given two threads, but I'm curious about how the times will go since it was also processing an Einstein@Home work unit at that time, and I am curious if two tasks for the same program would cause calculations to be faster or remain the same. Only time shall tell.

Overall, if further results match my preliminary data, I could see myself keeping BOINC up and running the Rosetta@Home project, because it would add a significant amount to my PPD, AND would get me rather interested in the thought of picking up a handful of ODroid C2's (or XU4's with a custom rom to use all eight cores), because if they put out the same amount of points as my phones have so far....... We're talking a device running on 6-8 watts of power getting pretty darn close to what my desktop is putting out for PPD. Then again, I'm also running three different CPU projects on my desktop, so that's probably why Rosetta@home's average for my desktop isn't as high as it could potentially be.


Oh, and since others have, I'll provide the links to my phone's data as well ^_^
...Einstein@Home...
Samsung Galaxy S3 - https://einstein.phys.uwm.edu/show_host_detail.php?hostid=12289109
HTC One M8 - https://einstein.phys.uwm.edu/show_host_detail.php?hostid=12289155

...Rosetta@Home...
Samsung Galaxy S3 - https://boinc.bakerlab.org/rosetta/show_host_detail.php?hostid=2783082
HTC One M8 - https://boinc.bakerlab.org/rosetta/show_host_detail.php?hostid=2783088


EDIT: With Rosetta@Home, so far it's looking like my HTC will do approximately 1/5th of what the current settings on my 4770k will do "full bore" (aka six threads). Not bad at all for a tiny little phone.
Edited by WhiteWulfe - 6/25/16 at 5:48pm
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post #57 of 66
My experiment with my phones continues! First and foremost, I don't have any real comparative data against my 4770k at this time, as only a few work units have been completed since I changed from 6 hours to 12 for run time, and my computer hasn't had enough time to compensate for such yet. However, I can say this: BOINCstats is showing that several of my "best ten days" average around 4600 PPD, so I'll use that figure for the time being. Both phones are still running Rosetta@Home. Power consumption is unknown due to lack of Kill-A-Watt.

...Samsung Galaxy S3...
Max threads running: 1
Tasks completed: 6
Runtime: 8423.16 - 19421.21 seconds (average is 13,336.98 seconds)
Credit: 33.64 - 124.41 (average is 79.49)
Estimated PPD based upon averages: 514.95
Estimated weekly points output: 3604.65


...HTC One M8...
Max threads running: 2
Tasks completed: 14
Runtime: 8346.33 - 29810.15 (average is 16,616.56 seconds)
Credit: 19.92 - 169.9 (average is 87.95)
Estimated PPD based upon averages: 914.62
Estimated weekly points output: 4115.79

Now, one might be wondering why I have the estimated weekly points generation for the HTC One M8 so low... Well, it's because since it's my main phone, it's generally unplugged from the charger for 12 hours or so on workdays, so I'm factoring in an effective loss of 2.5 days due to this.

What am I taking away from this so far? Given that my 4770k is able to put out around 4600 PPD on six threads such would make an estimated 6133 PPD using all eight threads, we're talking the following performance gaps...
Samsung Galaxy S3: 11.91x lower points output
HTC One M8 (assuming full on 24/7): 6.71x lower points output

Given the fact that they pretty much sip power and were "free" to me, odds are I'm going to keep running BOINC on them.... And maybe, just maybe might pick up a few SBC's for fun (ODroid C2, Upboard (4GB RAM, 32GB eMMC), UDOO x86 Ultra are examples.... With a preference for the x86 ones, even if Android sounds like fun to play with)
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post #58 of 66
So it's been close enough to two weeks of pretty much just Rosetta@Home work units (although I did give a few other projects a try for a bit), and.... I don't know, it's hard to say what my actual thoughts are about running it on one's phone. Obviously I wind up comparing it against my 4770k which as of late has been averaging around 690 PPD per thread (but is showing a RAC of 1,074.35 due to the fact I'm currently running ten projects on it (two of the POTM's, three that I'm using to try and get more bronze stars in WUProp, and my five regulars).... But in all honesty, if you look at it from a PPD/thread perspective (I can't compare PPD/watt due to lack of a kill-a-watt or other power meter) it technically isn't that bad....

4770k: 690 PPD/thread (currently displayed RAC for the machine: 1,074.35)
HTC One M8: 151.06 PPD/thread (currently displayed RAC for this device: 302.12 - not bad for a phone that's only crunching at most 4.5 days a week)
Samsung Galaxy S3: 149.36 PPD

Interestingly enough, I either didn't have enough data for my previous estimated RAC/PPD calculations, work units are different, getting your RAC to stabilize takes longer than two weeks, or it could very well do with how the Samsung modified 4.4.2 Android tends to basically just shut itself down and stop crunching if I don't turn the phone's screen on at least every 12 hours. Hard to say, but there are a wide variety of variables at play and I'm mainly just doing this as a long term experiment to justify the cost of a few developer boards (Raspberry Pi 3's, UP Board 4GB/32GB, ODroid C2 (and maybe the XU4's too) and the UDOO x86 Advanced/Ultra editions).

Anyways, I am still surprised though that my estimates for the Galaxy S3 are 3.45x higher than what I'm seeing, and for the HTC One M8 the estimates were 3.03x higher than what's currently showing (then again, I calculated the estimated PPD based upon 24/7 BOINCing, and the weekly on 4.5 days so it's somewhat skewed). Either way, here's the data that I have so far on the two phones - at least what I can pull from the Rosetta@Home website right now, since I didn't fully document it all. I probably should do that, just pull all the data every day, have it in a Google Sheets spreadsheet and then be able to pull from a much larger pool of data... That would definitely help me narrow down a few variables!

.... ....Oh, pulling up the computer details reveals an interesting fact about my S3 - it's only crunching 66.8% of the time, I'll have to find out why this is happening.


...Samsung Galaxy S3...
Max threads running: 1 (I'm looking into seeing if it's possible to get a custom kernel for this phone that will let me use both)
Tasks completed: 6
Runtime: 5,744.66 - 21,951.30 seconds (average is 13,976.94 seconds)
Credit: 62.58 - 145.16 (average is 87.11)
Estimated PPD based upon averages: 538.48
Estimated weekly points output: 3,769.36


...HTC One M8...
Max threads running: 2
Tasks completed: 14
Runtime: 8,211.93 - 26,786.88 (average is 16,912.64 seconds)
Credit: 28.48 - 154.72 (average is 77.4)
Estimated PPD based upon averages: 790.81
Estimated actual PPD when factoring in only 4.5 days of crunching due to work: 508.38
Estimated weekly points output: 3,558.65


It is interesting to me to see that a good portion of the averages have remained similar, and that despite the current issues it seems to regularly face, my Galaxy S3 has been fairly steady, and even increased it's estimated PPD somewhat. What is also interesting is that my HTC One M8 has had it's estimated 24/7 PPD and especially PPW numbers drop, but I suspect part of that is because I'm also playing Monster Legends on a regular basis, and the two don't play well together for some strange reason. It's almost like Monster Legends at full screen brightness makes the phone hot or something and I turn off BOINC while I'm playing the game..... .....And then occasionally forget to turn BOINC back on when I exit out of the game tongue.gif


EDIT (10 July 13:34 -06:00 GMT): Got a Google Spreadsheet going for the data. I'll do my best to update it daily, but right now I can't figure out why calls to the individual sheets aren't working so I'm having to manually enter data for Daily/Weekly/Monthly stuff. Take a look here if you're curious

EDIT 2 (10 July 15:24 -06:00 GMT): Oh..... There's an advanced section in the preferences..... And I'm now running two cores on the S3, four cores on the M8.... And allowed my devices more usage of the CPU and RAM. Let's see what happens over the next few days ^_^
Edited by WhiteWulfe - 7/10/16 at 2:25pm
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post #59 of 66
o_O Using the advanced preferences and using all cores (plus letting my 2x Galaxy S3's and my HTC One M8 use 90% of the RAM and pretty much running constantly), after one day three phones have netted me 2,446.5 points in Rosetta@Home, and the HTC was unplugged for around half of that time period... For the record, that's about a third of what my 4770k can do...... And if one goes by the estimates my calculations are showing (not that I've had a day within 5-10% of them so far), we're looking at 4,251.93 PPD... Which is around two thirds of what my 4770k will do stock.

Definitely not complaining for what is supposedly a small amount of power being drawn. Not complaining at all. Only real downside I see is that I'd have to look at ODroids instead of the Raspberry Pi's, since Pi's only really have the one project that I'm interested in having as a main and that's Einstein@Home. Sure there's SETI@Home as well, but... Hard to say. I still like the idea of having an army of the small single board computers though... ^_^
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EVGA SuperNova 1000G2 NZXT Phantom 820 Black Roccat Nyth Steel Series Worgen 
AudioAudioAudio
JDS Labs O2 + ODAC Rev.B AKG K712 Audio Technica ATH-M50X 
CPUMotherboardGraphicsRAM
i7 3770k Maximus V Formula EVGA GTX 780 Classified Corsair Dominator Platinum 1866MHz 
Hard DriveCoolingOSMonitor
Kingston 64GB SSDnow 200 CoolerMaster MasterLiquid Pro 240 Windows 7 64 Bit Dell E2213H 
KeyboardPowerCaseMouse
Logitech G15 v2 EVGA 1000w G2 Open Bench Table Corsair M95 
Mouse Pad
3' wide battle mat 
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post #60 of 66
My nexus 7 has been getting 2-3k in enigma the past few days. Seems pretty good for a several year old tablet. One of the better PPD projects for it.
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