[XPM] CUDA enabled qt client miner for primecoins. Source code inside. WIP

[gateway]

have you seen the cuda gmp pdf?
http://individual.utoronto.ca/haojunliu/courses/ECE1724_Report.pdf

cheers on not being greedy, btw i have many nvidia cards sitting idle here in our office

[TheSwede75]

have you seen the cuda gmp pdf?
http://individual.utoronto.ca/haojunliu/courses/ECE1724_Report.pdf

cheers on not being greedy, btw i have many nvidia cards sitting idle here in our office

Very much agree. A public release to a larger group of people is the best for Primecoin.

[loloman]

what about the perfs of this client?

[Kouye]

what about the perfs of this client?

Insane perfs. As soon as you gracefully push your BigInt lightning fast and reliable cuda library.
Any ETA on that ?

[gateway]

anyone here working with him? .. seems like he wants devs to step up and work on a client with him, asking if its done or something is prob not the right thing here..

[Sunny King]

Great initiative and looking forward 

[sumantso]

Nice work OP. I will just wait for the nice folks to provide a one-click Windows 7 miner 

Meanwhile I have to find my nVIDIA GPU and see whether its alive. I think it was a 8400.

[primedigger]

Github-link: http://github.com/primedigger/primecoin

update: added a stroxl function from http://www.jbox.dk/sanos/

The code still needs a lot of debugging and the mpz cuda library + string functions a lot of testing, if any CUDA developer wants to give it a chance, go for it!

Weather is too good outside to continue this now...

[alexxy]

Github-link: http://github.com/primedigger/primecoin

update: added a stroxl function from http://www.jbox.dk/sanos/

The code still needs a lot of debugging and the mpz cuda library + string functions a lot of testing, if any CUDA developer wants to give it a chance, go for it!

Weather is too good outside to continue this now...

Code compiles with some makefiles modifications but fails near imidiently with memory errors

Code:

Cuda finished
Have 250 candidates after main loop
Cuda finished
Have 344 candidates after main loop
Cuda finished
Have 312 candidates after main loop
Cuda finished
Have 1235 candidates after main loop
Cuda error: cudaMemcpy: cudaMemcpyDeviceToHost, unspecified launch failure

Also current code will only works with sm_20 and higher devices

[alexxy]

Aha

Seems like it starts failing if more then 1000 prime chain candidates found

Code:

Cuda finished
Added 361 addresses from 199.83.89.217: 180 tried, 12837 new
Added 199 addresses from 199.83.89.217: 180 tried, 12827 new
Have 1314 candidates after main loop
[0] start
[0] candidate is 1edf6ebf2abf2b6396b2f78eacddc21a2f9c0b963356d861e2035aa210ed01e094668
[0] mpz init done!

[tonyback]

thanks for this topic

[primedigger]

The 1000 is an arbitrary limit I put in so that enough candidates are available, thats when the GPU is used the first time.

[alexxy]

The 1000 is an arbitrary limit I put in so that enough candidates are available, thats when the GPU is used the first time.

Are you interesting in makefiles for cuda enabled version?

PS is it intened to allow it to work only for sm_20+ devices?

[TheSwede75]

Very interesting. Would love to test out once Windows binaries are available.

[Vorksholk]

I have a 780 I can test on, even if it's just builds that aim to test for performance, not actually mine blocks. Sadly my limited CUDA knowledge doesn't serve me very well here.

[hak8or]

This is absolutely awesome! I was wondering why so many were falling for that 1 BTC early access thing, and even without any escrow! I know I should have started to learn cuda months ago, but I chose Ruby for RoR instead, heh.

I will see where I can help out with the non cuda stuff, or maybe throwing in some comments here and there so other dev's can catch up easier, all while learning some cuda on the way. As others have said, you have quite a few people willing to test things out for you. If interested, I might be able to provide you root access to a machine running a 570 GTX.

[TheSwede75]

This is absolutely awesome! I was wondering why so many were falling for that 1 BTC early access thing, and even without any escrow! I know I should have started to learn cuda months ago, but I chose Ruby for RoR instead, heh.

I will see where I can help out with the non cuda stuff, or maybe throwing in some comments here and there so other dev's can catch up easier, all while learning some cuda on the way. As others have said, you have quite a few people willing to test things out for you. If interested, I might be able to provide you root access to a machine running a 570 GTX.

+1

I have a GTX 475 SLI 2x setup I can provide root access to as well.

[primedigger]

If someone wants to help, we need test cases for the cuda mpz functions to be sure that the cuda mpz library works (it's not mine). Also debugging this with gdb (the one from nvidia that can step through gpu execution) would be insightful, to see at which code line it crashes.

[alexxy]

If someone wants to help, we need test cases for the cuda mpz functions to be sure that the cuda mpz library works (it's not mine). Also debugging this with gdb (the one from nvidia that can step through gpu execution) would be insightful, to see at which code line it crashes.

I can try debuggin it on linux with cuda 5.5

Btw why didnt you use cump library? it seems to be gmp (mpz) compatible

[hak8or]

If someone wants to help, we need test cases for the cuda mpz functions to be sure that the cuda mpz library works (it's not mine). Also debugging this with gdb (the one from nvidia that can step through gpu execution) would be insightful, to see at which code line it crashes.

Sadly I haven't the faintest how to work with GDB. Also, adding on to my root access offer, I just remembered that Amazon offers GPU instances! For the life of me I cannot find the GPU option in the instance list though. If anyone gets back to me about this, I can happily offer you a donation to pay for a bit of that instance or I can try to set it up for you.

https://aws.amazon.com/ec2/instance-types/

CG1 Instances are backed by 2 x Intel Xeon X5570, quad-core with hyperthread plus 2 NVIDIA Tesla M2050 GPUs