Quote from: palgin on December 20, 2017, 06:44:11 AM

Hi, thanks for your interest, but in fact you're not right.

We've started this project specially to get rid of GPL licensed code and possible legal problems, all kernels in hsrminer are my intellectual property, which I have full right not to publish in source code format. You can say style smells like ccminer, but style similarity is not GPL violation, it's the same as, for example, saying that "Daimler AG" is violating "WAG Group" licenses because their cars also have steering wheels and doors. And program clearly says it was "inspired" by ccminer and EWBF's equihash miner.

This project is not related to any kind of "optimisation" as ccminer-palginmod was. If it was so, why we're losing devfee and not releasing new algos for weeks? ccminer-palginmod had many algos "optimised", why not publish them? Hsrminer kernels are homebrew, and it takes me tons of time (really, I get up at 7AM and go to bed at midnight, spending hours in front of screen) to create something faster than existing software offers. Also, palginmod had no movement since 9th of August this year if you look at github.

It's your right to use this software or not, just to close any speculation around GPL and my violation of it, I'm removing all palginmod binaries from Github, just right time to do it.

Thank you again for raising this question and have a nice day!

Excellent work !!!
But I have 1 qwestion: Why i have problems in RIG with 8 GPU? With 2Gpu in anather RIG it Working !!
Driwer 388.71

INFO : [01:33:49] : NVML monitoring enabled, continue...
INFO : [01:33:49] : 8 GPUs found/specified, initializing miner...
INFO : [01:33:50] : MESSAGE FROM SERVER: welcome on ALTMINER.NET - happy mining!
INFO : [01:33:50] : Share difficulty reset -- 256 (0.00391)
INFO : [01:33:50] : New block #3426 received, new difficulty is 441.081
Cuda error in func 'neoscrypt_cpu_init' at line 1298 : out of memory.
Cuda error in func 'neoscrypt_cpu_init' at line 1299 : out of memory.

But it working with cuda 9

[2017-12-27 01:36:04] GPU #0: ASUS GTX 1080 Ti, 1511.39 kH/s
[2017-12-27 01:36:04] GPU #4: ASUS GTX 1080 Ti, 1492.73 kH/s
[2017-12-27 01:36:04] GPU #7: ASUS GTX 1080 Ti, 1487.99 kH/s
[2017-12-27 01:36:04] GPU #1: ASUS GTX 1080 Ti, 1541.18 kH/s
[2017-12-27 01:36:04] GPU #3: ASUS GTX 1080 Ti, 1528.19 kH/s
[2017-12-27 01:36:04] GPU #6: ASUS GTX 1080 Ti, 1518.99 kH/s
[2017-12-27 01:36:04] GPU #5: ASUS GTX 1080 Ti, 1514.14 kH/s
[2017-12-27 01:36:07] accepted: 3/3 (diff 0.007), 12.12 MH/s ye