IRC logs of #boinc for Wednesday, 2012-11-14

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16:58 <valer> Right now there appears to be a bug that prevents compiling the code pulled from Git. On the positive side, I'm happy that BOINC is being actively developed.

17:06 <Tank_Master> id still like to see openCL support added for the intel GPUs

17:09 <Tank_Master> and why is boinc still built on vs 2005?

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17:51 <synapt> Tank_Master: It took them nearly a decade to even get proper DirectX/OpenGL support on the new Intel GPU's

17:51 <synapt> it'll be another before we see OpenCL probably

17:51 <synapt> :P

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19:20 <Tank_Master> synapt, are you refering to intel or boinc?

19:20 <Tank_Master> intel already supports openCL 1.2

19:58 <synapt> Tank_Master: Really? o.O

19:58 <synapt> Damn

20:02 <Tank_Master> when intel went to the intergrated GPU, they added support for openCL

20:03 <Tank_Master> then even support openGL 4.2 on the intel HD 4000

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21:11 <PovAddict> there's a certain thing I'd love to speed up with GPUs

21:11 <PovAddict> but it doesn't seem possible

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22:12 <Zumu> after nvidia upgrade see "NVIDIA GPU 0: GeForce GTX 580 (driver version unknown, CUDA version 5.0, compute capability 2.0, 1536MB, 134215081MB available, 1581 GFLOPS peak)"

22:12 <Zumu> fixed memory report

22:16 <Zumu> upgraded to einsteinbinary_BRP4_1.31_x86_64-pc-linux-gnu__BRP4cuda32nv270 ;)

22:59 <Zumu> boinc_client is still using 152g, that is 76.2g x 2

23:00 <Zumu> 76.2g is milkyway_separation_1.02_x86_64-pc-linux-gnu__opencl_nvidia virtual ram size

23:00 <Zumu>

23:01 <PovAddict> how many CPU cores?

23:02 <Zumu> PovAddict: i7 3930k - 6 cores with HT

23:03 <Zumu> almost like 12 cores ;)

23:04 <PovAddict> wait what

23:04 <PovAddict> I just now noticed what you were pointing at

23:04 <PovAddict> wtf?

23:04 <PovAddict> Zumu: the core client has no business using more than a few MB

23:05 <Zumu> PovAddict: I'm interested why such thing do happen too

23:05 <PovAddict> Zumu: does it start using 152GB immediately when starting, or does it slowly accumulate?

23:06 <Zumu> PovAddict: immediately

23:07 <PovAddict> oh and why the hell is it running under user 'tftp'?

23:07 <Zumu> it is running in chroot with different uid mapping to names

23:08 <valer>

23:08 <Romulus> <> (at

23:30 <PovAddict> Zumu: it's likely to be related to GPU, only way to find out would be to disable GPU usage

23:30 <PovAddict> Zumu: and if you do that, your existing GPU workunits would immediately crash and burn :P

23:31 <Zumu> PovAddict ;)

23:32 <PovAddict> Zumu: I have stuff that would benefit from high RAM, I might recruit your computer some day :P

23:32 <PovAddict> Zumu:

23:34 <PovAddict> rendering that image took a few days

23:34 <Zumu> PovAddict: cool

23:35 <PovAddict> with more RAM the process is faster

23:36 <PovAddict> basically, you *could* render the entire 10240x10240 image in one shot, but you'd need something stupid like 100GB of RAM

23:37 <PovAddict> so instead the image is split into smaller pieces, and each is rendered separately

23:37 <PovAddict> each piece needs proportionately less RAM, but takes the same amount of time as if you did the whole thing at once

23:38 <PovAddict> so if RAM limits force you to split into 16 pieces, it will end up taking 16 times longer to do the full image

23:40 <PovAddict> with your 64GB I think that same image could be rendered in only two or three slices :)

23:41 <Zumu> this pc 64G(8x8G) ram was ~$640

23:41 <Zumu> ram is cheap now

23:41 <PovAddict> I have 4GB in mine

23:42 <PovAddict> I have never had a motherboard with eight slots...

23:43 <Zumu> I had to use 1.5v ddr3 because of i7, in case this pc had older processor I could use 1.65v ram

23:43 <Zumu> PovAddict:

23:43 <Romulus> <> (at

23:45 <PovAddict> ASUSTeK M2N-SLI DELUXE

23:46 <PovAddict> AMD Phenom 9550

23:47 <PovAddict> 2x2GB

23:47 <PovAddict> two slots still free so I guess I can expand further

23:47 <PovAddict> I don't know if I have ddr2 or ddr3, or how to tell

23:49 <PovAddict> lshw says "DIMM DDR 800 MHz" which is obviously impossible

23:51 <Zumu> actually I prefer intel cpus, but at work I have "AMD A6-3500 APU with Radeon(tm) HD Graphics" with 8G of ram

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