scryptr
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November 03, 2017, 04:23:01 AM |
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Is there a way to compile ccminer (for Ubuntu) for a specific algorithm (not for all)? It it is possbile could you please tell me how to do it in details?
Thank you!
SIMPLE ANSWER, NO! -- For a more complex answer, you would need to remove a great deal of code. For example, tsiv's CryptoNight miner is only for CryptoNight. Modifications to several algorithm components of the code so that CryptoNight algorithm could be mined made the miner incompatible with normal use for those modified algorithms. It is possible to re-code CCminer for only one algorithm, but the path is wickedly complex. It cannot currently be done with "switches" within the code similar to those used to support or not support Maxwell or Pascal or earlier chip architecture. --scryptr |
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Every time a block is mined, a certain amount of BTC (called the
subsidy) is created out of thin air and given to the miner. The
subsidy halves every four years and will reach 0 in about 130 years.
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Advertised sites are not endorsed by the Bitcoin Forum. They may be unsafe, untrustworthy, or illegal in your jurisdiction.
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The_Immortal
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Activity: 55
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November 03, 2017, 05:32:43 AM |
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scryptr, thank you.
Maybe you can help with another question. Is there a way TO NOT COMPILE CCMINER FOR EVERY PC?!?!
I have several rigs (they are on Ubuntu). I've compiled ccminer for one of them and it's worked. Then I switched ready ccminer to the same hardware configuration (socket, CPU, videocards) and... CCminer just exited after its launching.. So I had to compile it AGAIN... and it worked.
OMG... Should I compile this hell under every PC?....
Thank you!
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scryptr
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Activity: 1793
Merit: 1028
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November 03, 2017, 06:17:49 AM |
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scryptr, thank you.
Maybe you can help with another question. Is there a way TO NOT COMPILE CCMINER FOR EVERY PC?!?!
I have several rigs (they are on Ubuntu). I've compiled ccminer for one of them and it's worked. Then I switched ready ccminer to the same hardware configuration (socket, CPU, videocards) and... CCminer just exited after its launching.. So I had to compile it AGAIN... and it worked.
OMG... Should I compile this hell under every PC?....
Thank you!
JUST USE BUILD.SH-- Each build will be compiled against the hardware and drivers on each PC. It takes a while to compile, depending on the CPU, but it fits the PC it is built on. Further, if you have all Pascal GPUs, you can set switches within the code to build a binary specific for Pascal architecture. Likewise, you can build for older architecture. I never found this intimidating or difficult. --scryptr |
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The_Immortal
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November 03, 2017, 06:42:02 AM
Last edit: November 03, 2017, 07:06:23 AM by The_Immortal |
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scryptr, JUST USE BUILD.SH  Of course I use it... Every time, again and again (for every another PC) i use this file to compile ccminer by default. Or what did you mean by that? I never found this intimidating or difficult. Well, that's not too hard indeed. But when you've to download nvidia-toolkit (2.5GB) and then compile ccminer (from 5-15 mins) ten times in a row - that's a lil bit frustrating! Do you get me?  Further, if you have all Pascal GPUs, you can set switches within the code to build a binary specific for Pascal architecture. Yup, all my GPUs are Pascal (GTX 1050). But can you gimme please an example how to use switches for Pascal GPUs? Or did you mean maybe flags not switches? Well, those flags won't help - I tell you (see below why). And... Could you please explain how is it possible... There two absolutely identical PC: motherboards, CPU, the same GPUs (1050) from the same vendor. I compile ccminer on one of them and expect that it will work on both PC (make sense?) Nope! It works only on PC it was built on! Why is that?? (btw, it was tested on cryptonight algo). I think it's not about GPUs architecture. It's about CPU architecture. ccminer is too sensetive to all hardware during its compiling... How to say ccminer to be not so sensetive to get more universal solution? Thank you! P.S. But under windows it works perfectly. You don't need to break your brain - you just need to download ready binaries and launch it...... It's a dream for Ubuntu  P.P.S. BTW, what switch should I use for GTX 1050? Never found it in the list.
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pallas
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Activity: 2716
Merit: 1094
Black Belt Developer
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November 03, 2017, 09:23:10 AM |
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scryptr, JUST USE BUILD.SH Of course I use it... Every time, again and again (for every another PC) i use this file to compile ccminer by default. Or what did you mean by that? I never found this intimidating or difficult. Well, that's not too hard indeed. But when you've to download nvidia-toolkit (2.5GB) and then compile ccminer (from 5-15 mins) ten times in a row - that's a lil bit frustrating! Do you get me? Further, if you have all Pascal GPUs, you can set switches within the code to build a binary specific for Pascal architecture. Yup, all my GPUs are Pascal (GTX 1050). But can you gimme please an example how to use switches for Pascal GPUs? Or did you mean maybe flags not switches? Well, those flags won't help - I tell you (see below why). And... Could you please explain how is it possible... There two absolutely identical PC: motherboards, CPU, the same GPUs (1050) from the same vendor. I compile ccminer on one of them and expect that it will work on both PC (make sense?) Nope! It works only on PC it was built on! Why is that?? (btw, it was tested on cryptonight algo). I think it's not about GPUs architecture. It's about CPU architecture. ccminer is too sensetive to all hardware during its compiling... How to say ccminer to be not so sensetive to get more universal solution? Thank you! P.S. But under windows it works perfectly. You don't need to break your brain - you just need to download ready binaries and launch it...... It's a dream for Ubuntu P.P.S. BTW, what switch should I use for GTX 1050? Never found it in the list. cpu doesn't matter, unless you compiled with cpu specific flags. is the software the same on the two machines? same OS, same version? same packages installed? I had no problems sharing ccminer binaries with other people using the same linux OS, it even worked with different distributions, provided it had the same shared libraries available. |
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luka1002
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Activity: 14
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November 03, 2017, 02:33:41 PM |
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Hello I am having problems with latest https://github.com/tpruvot/ccminer ccminer 2.2.2 with CUDA 9. Last version before this one i compiled with out any problem. I have update CUDA from 7.5 to 9 and i get this error: https://pastebin.com/Lf7TVRJC+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 On | 00000000:01:00.0 On | N/A |
| 0% 29C P8 8W / 130W | 114MiB / 8110MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 1070 On | 00000000:02:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce GTX 1070 On | 00000000:04:00.0 Off | N/A |
| 0% 20C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 GeForce GTX 1070 On | 00000000:05:00.0 Off | N/A |
| 0% 24C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 4 GeForce GTX 1070 On | 00000000:06:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 5 GeForce GTX 1070 On | 00000000:08:00.0 Off | N/A |
| 0% 24C P8 6W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 6 GeForce GTX 1070 On | 00000000:09:00.0 Off | N/A |
| 0% 30C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 7 GeForce GTX 1070 On | 00000000:0A:00.0 Off | N/A |
| 0% 27C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1707 G /usr/lib/xorg/Xorg 112MiB |
| 1 1707 G /usr/lib/xorg/Xorg 17MiB |
| 2 1707 G /usr/lib/xorg/Xorg 17MiB |
| 3 1707 G /usr/lib/xorg/Xorg 17MiB |
| 4 1707 G /usr/lib/xorg/Xorg 17MiB |
| 5 1707 G /usr/lib/xorg/Xorg 17MiB |
| 6 1707 G /usr/lib/xorg/Xorg 17MiB |
| 7 1707 G /usr/lib/xorg/Xorg 17MiB |
+-----------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
g++-5 is already the newest version (5.4.0-6ubuntu1~16.04.5).
gcc-5 is already the newest version (5.4.0-6ubuntu1~16.04.5). Linux mint 18.1 Could someone help me and tell were the problem is? |
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Epsylon3 (OP)
Legendary
Offline
Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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November 03, 2017, 03:12:37 PM |
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azertyuiopvnx
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Activity: 52
Merit: 0
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November 03, 2017, 03:15:37 PM |
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Hello I am having problems with latest https://github.com/tpruvot/ccminer ccminer 2.2.2 with CUDA 9. Last version before this one i compiled with out any problem. I have update CUDA from 7.5 to 9 and i get this error: https://pastebin.com/Lf7TVRJC+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 On | 00000000:01:00.0 On | N/A |
| 0% 29C P8 8W / 130W | 114MiB / 8110MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 1070 On | 00000000:02:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce GTX 1070 On | 00000000:04:00.0 Off | N/A |
| 0% 20C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 GeForce GTX 1070 On | 00000000:05:00.0 Off | N/A |
| 0% 24C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 4 GeForce GTX 1070 On | 00000000:06:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 5 GeForce GTX 1070 On | 00000000:08:00.0 Off | N/A |
| 0% 24C P8 6W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 6 GeForce GTX 1070 On | 00000000:09:00.0 Off | N/A |
| 0% 30C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 7 GeForce GTX 1070 On | 00000000:0A:00.0 Off | N/A |
| 0% 27C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1707 G /usr/lib/xorg/Xorg 112MiB |
| 1 1707 G /usr/lib/xorg/Xorg 17MiB |
| 2 1707 G /usr/lib/xorg/Xorg 17MiB |
| 3 1707 G /usr/lib/xorg/Xorg 17MiB |
| 4 1707 G /usr/lib/xorg/Xorg 17MiB |
| 5 1707 G /usr/lib/xorg/Xorg 17MiB |
| 6 1707 G /usr/lib/xorg/Xorg 17MiB |
| 7 1707 G /usr/lib/xorg/Xorg 17MiB |
+-----------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
g++-5 is already the newest version (5.4.0-6ubuntu1~16.04.5).
gcc-5 is already the newest version (5.4.0-6ubuntu1~16.04.5). Linux mint 18.1 Could someone help me and tell were the problem is? I also had that problem with scrypt kernel, i had to disable all off them in Makefile.am, bench.cpp, util.cpp and ccminer.cpp |
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luka1002
Newbie
Offline
Activity: 14
Merit: 0
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November 03, 2017, 03:32:42 PM |
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Hello I am having problems with latest https://github.com/tpruvot/ccminer ccminer 2.2.2 with CUDA 9. Last version before this one i compiled with out any problem. I have update CUDA from 7.5 to 9 and i get this error: https://pastebin.com/Lf7TVRJC+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 On | 00000000:01:00.0 On | N/A |
| 0% 29C P8 8W / 130W | 114MiB / 8110MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 1070 On | 00000000:02:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce GTX 1070 On | 00000000:04:00.0 Off | N/A |
| 0% 20C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 GeForce GTX 1070 On | 00000000:05:00.0 Off | N/A |
| 0% 24C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 4 GeForce GTX 1070 On | 00000000:06:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 5 GeForce GTX 1070 On | 00000000:08:00.0 Off | N/A |
| 0% 24C P8 6W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 6 GeForce GTX 1070 On | 00000000:09:00.0 Off | N/A |
| 0% 30C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 7 GeForce GTX 1070 On | 00000000:0A:00.0 Off | N/A |
| 0% 27C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1707 G /usr/lib/xorg/Xorg 112MiB |
| 1 1707 G /usr/lib/xorg/Xorg 17MiB |
| 2 1707 G /usr/lib/xorg/Xorg 17MiB |
| 3 1707 G /usr/lib/xorg/Xorg 17MiB |
| 4 1707 G /usr/lib/xorg/Xorg 17MiB |
| 5 1707 G /usr/lib/xorg/Xorg 17MiB |
| 6 1707 G /usr/lib/xorg/Xorg 17MiB |
| 7 1707 G /usr/lib/xorg/Xorg 17MiB |
+-----------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
g++-5 is already the newest version (5.4.0-6ubuntu1~16.04.5).
gcc-5 is already the newest version (5.4.0-6ubuntu1~16.04.5). Linux mint 18.1 Could someone help me and tell were the problem is? I also had that problem with scrypt kernel, i had to disable all off them in Makefile.am, bench.cpp, util.cpp and ccminer.cpp can u explain more please? |
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The_Immortal
Newbie
Offline
Activity: 55
Merit: 0
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November 03, 2017, 03:44:53 PM |
|
pallas, scryptr, JUST USE BUILD.SH Of course I use it... Every time, again and again (for every another PC) i use this file to compile ccminer by default. Or what did you mean by that? I never found this intimidating or difficult. Well, that's not too hard indeed. But when you've to download nvidia-toolkit (2.5GB) and then compile ccminer (from 5-15 mins) ten times in a row - that's a lil bit frustrating! Do you get me? Further, if you have all Pascal GPUs, you can set switches within the code to build a binary specific for Pascal architecture. Yup, all my GPUs are Pascal (GTX 1050). But can you gimme please an example how to use switches for Pascal GPUs? Or did you mean maybe flags not switches? Well, those flags won't help - I tell you (see below why). And... Could you please explain how is it possible... There two absolutely identical PC: motherboards, CPU, the same GPUs (1050) from the same vendor. I compile ccminer on one of them and expect that it will work on both PC (make sense?) Nope! It works only on PC it was built on! Why is that?? (btw, it was tested on cryptonight algo). I think it's not about GPUs architecture. It's about CPU architecture. ccminer is too sensetive to all hardware during its compiling... How to say ccminer to be not so sensetive to get more universal solution? Thank you! P.S. But under windows it works perfectly. You don't need to break your brain - you just need to download ready binaries and launch it...... It's a dream for Ubuntu P.P.S. BTW, what switch should I use for GTX 1050? Never found it in the list. cpu doesn't matter, unless you compiled with cpu specific flags. is the software the same on the two machines? same OS, same version? same packages installed? I had no problems sharing ccminer binaries with other people using the same linux OS, it even worked with different distributions, provided it had the same shared libraries available. Exactly - all the same: OS, miner software, etc. But could you tell me please if I want to compile ccminer for GTX 1050 only regardless any CPU what should I do? As I get all I need is add into Makefile.am the following flag: nvcc_ARCH = -gencode=arch=compute_60,code="sm_60,compute_60" and remove all other flags concerning nvcc_ARCH. Correct?
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pallas
Legendary
Offline
Activity: 2716
Merit: 1094
Black Belt Developer
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November 03, 2017, 03:52:06 PM |
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But could you tell me please if I want to compile ccminer for GTX 1050 only regardless any CPU what should I do? As I get all I need is add into Makefile.am the following flag: nvcc_ARCH = -gencode=arch=compute_60,code="sm_60,compute_60" and remove all other flags concerning nvcc_ARCH. Correct? 61, not 60. |
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scryptr
Legendary
Offline
Activity: 1793
Merit: 1028
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November 03, 2017, 04:01:13 PM |
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But could you tell me please if I want to compile ccminer for GTX 1050 only regardless any CPU what should I do? As I get all I need is add into Makefile.am the following flag: nvcc_ARCH = -gencode=arch=compute_60,code="sm_60,compute_60" and remove all other flags concerning nvcc_ARCH. Correct? 61, not 60. THANK YOU! -- For the last three hours, I have been putting off digging into an old compile directory for the snippet of code that The Immortal just provided for himself. --scryptr |
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Epsylon3 (OP)
Legendary
Offline
Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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November 03, 2017, 04:38:01 PM |
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61 (and 60) will be slower than 52
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luka1002
Newbie
Offline
Activity: 14
Merit: 0
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November 03, 2017, 07:56:49 PM |
|
Hello I am having problems with latest https://github.com/tpruvot/ccminer ccminer 2.2.2 with CUDA 9. Last version before this one i compiled with out any problem. I have update CUDA from 7.5 to 9 and i get this error: https://pastebin.com/Lf7TVRJC+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.90 Driver Version: 384.90 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 On | 00000000:01:00.0 On | N/A |
| 0% 29C P8 8W / 130W | 114MiB / 8110MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 1070 On | 00000000:02:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce GTX 1070 On | 00000000:04:00.0 Off | N/A |
| 0% 20C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 3 GeForce GTX 1070 On | 00000000:05:00.0 Off | N/A |
| 0% 24C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 4 GeForce GTX 1070 On | 00000000:06:00.0 Off | N/A |
| 0% 23C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 5 GeForce GTX 1070 On | 00000000:08:00.0 Off | N/A |
| 0% 24C P8 6W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 6 GeForce GTX 1070 On | 00000000:09:00.0 Off | N/A |
| 0% 30C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 7 GeForce GTX 1070 On | 00000000:0A:00.0 Off | N/A |
| 0% 27C P8 7W / 130W | 19MiB / 8114MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1707 G /usr/lib/xorg/Xorg 112MiB |
| 1 1707 G /usr/lib/xorg/Xorg 17MiB |
| 2 1707 G /usr/lib/xorg/Xorg 17MiB |
| 3 1707 G /usr/lib/xorg/Xorg 17MiB |
| 4 1707 G /usr/lib/xorg/Xorg 17MiB |
| 5 1707 G /usr/lib/xorg/Xorg 17MiB |
| 6 1707 G /usr/lib/xorg/Xorg 17MiB |
| 7 1707 G /usr/lib/xorg/Xorg 17MiB |
+-----------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Sep__1_21:08:03_CDT_2017
Cuda compilation tools, release 9.0, V9.0.176
g++-5 is already the newest version (5.4.0-6ubuntu1~16.04.5).
gcc-5 is already the newest version (5.4.0-6ubuntu1~16.04.5). Linux mint 18.1 Could someone help me and tell were the problem is? I also had that problem with scrypt kernel, i had to disable all off them in Makefile.am, bench.cpp, util.cpp and ccminer.cpp can u explain more please? Seems that Compute 2.0 is disabled in CUDA 9 and miner still have compute 2.0 for scrypt. Can someone mark what lines i need to remove from Makefile.am https://github.com/tpruvot/ccminer/blob/windows/Makefile.am#L177 |
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Epsylon3 (OP)
Legendary
Offline
Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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November 03, 2017, 07:58:04 PM |
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i already answered 5 posts ago
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luka1002
Newbie
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Activity: 14
Merit: 0
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November 03, 2017, 08:04:37 PM |
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i already answered 5 posts ago
if that worked i would not asked again, tried that did not work ,still same error. I am missing something. |
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Epsylon3 (OP)
Legendary
Offline
Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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November 03, 2017, 08:05:27 PM |
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luka1002
Newbie
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Activity: 14
Merit: 0
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November 03, 2017, 08:56:58 PM |
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Thank you, this one worked!  |
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pallas
Legendary
Offline
Activity: 2716
Merit: 1094
Black Belt Developer
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November 03, 2017, 10:01:12 PM |
|
61 (and 60) will be slower than 52
I discovered that if you run 52 code on pascal, it actually makes 61 code on the fly when you run the kernel. The reason it is faster, I don't know. Thing is, with cuda 9 the difference is smaller or even reversed. A little tweaking here and there and it will be faster than before :-) |
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Epsylon3 (OP)
Legendary
Offline
Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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November 03, 2017, 10:16:35 PM |
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yep, i dont put it for now because that breaks previous cuda builds... and increase the binary size a lot for nothing on windows
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