After I updated my system from El Capitan to High Sierra, I wanted to use xmr-stak but my version that I compiled under El Capitan doesn't worked anymore. So I decided to compile it new.
My System was updated and Xcode 9.2 with newest Nvidia Driver was installed.
After downloading xmr-stak v2.2 and starting compiling it, I got errors regarding the CUDA Drivers.
Here is my Howto to get it working.
1. Install Homebrew
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"2. Downgrade Xcode to 8.2
- Download Xcode.app from here (https://download.developer.apple.com/Developer_Tools/Xcode_8.2/Xcode_8.2.xip)
- Rename the new 9.2 version to something like Xcode_9.2.app
- Install (unpack) to the Library
3. Downgrade Commandline Tools
- Download CLT for Xcode 8.2 from here (https://download.developer.apple.com/Developer_Tools/Command_Line_Tools_macOS_10.12_for_Xcode_8.2/Command_Line_Tools_macOS_10.12_for_Xcode_8.2.dmg)
- Install CLT Package
4. Downgrade CUDA Toolkit to version 8.0.61
- Download cuda_8.0.61_mac.dmg from https://developer.nvidia.com/cuda-80-ga2-download-archive
- Install CUDA Toolkit
5. Reboot
6. Verify that clang version is 8.0.0:
$ clang --versionApple LLVM version 8.0.0 (clang-800.0.42.1)7. Download xmr-stak
- Download from https://github.com/fireice-uk/xmr-stak/archive/v2.2.0.zip
- make a Directory eg. /Users/username>/Desktop/dev/xmr-stak
- extract the zip file to that directory
- cd to that directory
8. Compile and Install
$ brew install hwloc libmicrohttpd gcc openssl cmake$ cmake . -DOPENSSL_ROOT_DIR=/usr/local/opt/openssl -DOpenCL_ENABLE=OFF -DXMR-STAK_CURRENCY=monero$ make installNote: With "-DCUDA_COMPILER=clang" I get an error (clang: error: Unsupported CUDA gpu architecture: sm_60...) so I don't use it!
9. After successfully compiling change the CUDA Driver in the Preferences to the lastest version
10. Run xmr-stak
$ ./xmr-stak [2018-02-06 18:19:38] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:38] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:39] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:39] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:39] : MEMORY ALLOC FAILED: mmap failed
-------------------------------------------------------------------
xmr-stak 2.2.0 c4400d19
Brought to you by fireice_uk and psychocrypt under GPLv3.
Based on CPU mining code by wolf9466 (heavily optimized by fireice_uk).
Based on NVIDIA mining code by KlausT and psychocrypt.
Configurable dev donation level is set to 2.0%
You can use following keys to display reports:
'h' - hashrate
'r' - results
'c' - connection
-------------------------------------------------------------------
[2018-02-06 18:19:39] : Start mining: MONERO
[2018-02-06 18:19:39] : Starting NVIDIA GPU thread 0, no affinity.
[2018-02-06 18:19:39] : WARNING on MacOS thread affinity is only advisory.
[2018-02-06 18:19:39] : Starting 1x thread, affinity: 1.
[2018-02-06 18:19:39] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:39] : hwloc: set_thisthread_membind not supported
[2018-02-06 18:19:39] : WARNING on MacOS thread affinity is only advisory.
[2018-02-06 18:19:39] : Starting 1x thread, affinity: 3.
[2018-02-06 18:19:39] : hwloc: set_thisthread_membind not supported
[2018-02-06 18:19:40] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:40] : MEMORY ALLOC FAILED: mmap failed
[2018-02-06 18:19:40] : Fast-connecting to xmr-eu.dwarfpool.com:8005 pool ...
[2018-02-06 18:19:40] : Pool xmr-eu.dwarfpool.com:8005 connected. Logging in...
[2018-02-06 18:19:40] : Difficulty changed. Now: 20000.
[2018-02-06 18:19:40] : Pool logged in.
[2018-02-06 18:20:10] : Result accepted by the pool.
HASHRATE REPORT - CPU
| ID | 10s | 60s | 15m | ID | 10s | 60s | 15m |
| 0 | 53.1 | (na) | (na) | 1 | 50.1 | (na) | (na) |
-----------------------------------------------------
HASHRATE REPORT - NVIDIA
| ID | 10s | 60s | 15m |
| 0 | 256.2 | (na) | (na) |
---------------------------
Totals: 359.4 (na) (na) H/s
Highest: 361.7 H/s
[2018-02-06 18:20:27] : Result accepted by the pool.
12. Now you can configure config.txt, cpu.txt and Nvidia.txt to get more H/s.
eg. nvidia.txt
"gpu_threads_conf" :
[
// gpu: GeForce GTX 960 architecture: 52
// memory: 1672/2048 MiB
// smx: 8
{ "index" : 0,
"threads" : 13, "blocks" : 24,
"bfactor" : 8, "bsleep" : 25,
"affine_to_cpu" : false, "sync_mode" : 3,
},
],
I hope I have nothing forgotten.