Trying to get this to work on Nvidia GT730 Cuda 8.0 information below... Any help would be greatly appreciated.. No matter which pool i choose i can't get any of them to work. Please help...
Steps:
wget
https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda-repo-rhel6-8-0-local-ga2-8.0.61-1.x86_64-rpmsudo rpm -i cuda-repo-rhel6-8-0-local-ga2-8.0.61-1.x86_64.rpm
sudo yum clean all
sudo yum install cuda
wget
https://github.com/tpruvot/ccminer/archive/1.8.4-tpruvot.tar.gz./autogen.sh
./build.sh
make && make install
System Info
# uname -a
Linux localhost.localdomain 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux
# lspci | grep -i VGA
01:00.0 VGA compatible controller: NVIDIA Corporation GK208 [GeForce GT 730] (rev a1)
# rpm -qa | grep -i nvidia
xorg-x11-drv-nvidia-gl-375.26-1.el6.x86_64
nvidia-kmod-375.26-2.el6.x86_64
xorg-x11-drv-nvidia-libs-375.26-1.el6.x86_64
nvidia-detect-375.39-1.el6.elrepo.x86_64
xorg-x11-drv-nvidia-375.26-1.el6.x86_64
xorg-x11-drv-nvidia-devel-375.26-1.el6.x86_64
# rpm -qa | grep -i cuda
cuda-cublas-8-0-8.0.61-1.x86_64
cuda-core-8-0-8.0.61-1.x86_64
cuda-visual-tools-8-0-8.0.61-1.x86_64
cuda-nvrtc-dev-8-0-8.0.61-1.x86_64
cuda-command-line-tools-8-0-8.0.61-1.x86_64
cuda-8.0.61-1.x86_64
cuda-nvml-dev-8-0-8.0.61-1.x86_64
cuda-nvgraph-dev-8-0-8.0.61-1.x86_64
cuda-cufft-8-0-8.0.61-1.x86_64
cuda-cusolver-dev-8-0-8.0.61-1.x86_64
cuda-runtime-8-0-8.0.61-1.x86_64
cuda-repo-rhel6-8-0-local-ga2-8.0.61-1.x86_64
cuda-nvgraph-8-0-8.0.61-1.x86_64
cuda-npp-dev-8-0-8.0.61-1.x86_64
cuda-cusolver-8-0-8.0.61-1.x86_64
cuda-drivers-375.26-1.x86_64
cuda-driver-dev-8-0-8.0.61-1.x86_64
cuda-curand-dev-8-0-8.0.61-1.x86_64
cuda-misc-headers-8-0-8.0.61-1.x86_64
cuda-documentation-8-0-8.0.61-1.x86_64
cuda-license-8-0-8.0.61-1.x86_64
cuda-curand-8-0-8.0.61-1.x86_64
cuda-cufft-dev-8-0-8.0.61-1.x86_64
cuda-samples-8-0-8.0.61-1.x86_64
cuda-demo-suite-8-0-8.0.61-1.x86_64
cuda-cublas-dev-8-0-8.0.61-1.x86_64
cuda-cusparse-dev-8-0-8.0.61-1.x86_64
cuda-cudart-8-0-8.0.61-1.x86_64
cuda-toolkit-8-0-8.0.61-1.x86_64
cuda-cusparse-8-0-8.0.61-1.x86_64
cuda-npp-8-0-8.0.61-1.x86_64
cuda-nvrtc-8-0-8.0.61-1.x86_64
cuda-cudart-dev-8-0-8.0.61-1.x86_64
cuda-8-0-8.0.61-1.x86_64
running CCMINER gives me the below....
ccminer -o stratum+tcp://nyc-1.xmrpool.net -u 42uGK1HXuTWbF2hDrXD5WSacU79aM2jax9E94MtHayTCTxT2wioj84y1VCBLSC3icvU26MCtNxPCJMU
PJxJKYo2nDWj3yKH -p x -D -P
*** ccminer 1.8.4 for nVidia GPUs by tpruvot@github ***
Built with the nVidia CUDA Toolkit 8.0
Originally based on Christian Buchner and Christian H. project
Include some algos from alexis78, djm34, sp, tsiv and klausT.
BTC donation address: 1AJdfCpLWPNoAMDfHF1wD5y8VgKSSTHxPo (tpruvot)
[2017-03-22 22:17:35] POOL 0: nyc-1.xmrpool.net USER 42uGK1HXuTWbF2hDrXD5WSacU79aM2jax9E94MtHayTCTxT2wioj84y1VCBLSC3icvU26MCtNxPCJMU
PJxJKYo2nDWj3yKH -s 10
[2017-03-22 22:17:35] Starting on stratum+tcp://nyc-1.xmrpool.net
[2017-03-22 22:17:35] restart_threads
[2017-03-22 22:17:35] CUDA GPU 0 matches NVML GPU 0 by busId 1
[2017-03-22 22:17:35] NVML GPU monitoring enabled.
[2017-03-22 22:17:35] 1 miner thread started, using 'auto' algorithm.
* About to connect() to nyc-1.xmrpool.net port 80 (#0)
* Trying 104.140.201.42... * TCP_NODELAY set
* connected
* Connected to nyc-1.xmrpool.net (104.140.201.42) port 80 (#0)
* Connection #0 to host nyc-1.xmrpool.net left intact
[2017-03-22 22:17:35] > {"id": 1, "method": "mining.subscribe", "params": ["ccminer/1.8.4"]}
[2017-03-22 22:17:36] sleeptime: 500 ms
[2017-03-22 22:17:37] GPU #0: no data
[2017-03-22 22:17:37] sleeptime: 500 ms
[2017-03-22 22:17:38] GPU #0: no data
[2017-03-22 22:17:39] sleeptime: 500 ms
[2017-03-22 22:17:40] GPU #0: no data
[2017-03-22 22:17:40] sleeptime: 500 ms
[2017-03-22 22:17:41] GPU #0: no data
[2017-03-22 22:17:42] sleeptime: 500 ms
[2017-03-22 22:17:43] GPU #0: no data
[2017-03-22 22:17:44] sleeptime: 500 ms
[2017-03-22 22:17:45] GPU #0: no data
[2017-03-22 22:17:45] stratum_subscribe timed out
* Closing connection #0
[2017-03-22 22:17:45] ...retry after 30 seconds
[2017-03-22 22:17:45] sleeptime: 500 ms
^C[2017-03-22 22:17:46] SIGINT received, exiting
[2017-03-22 22:17:46] restart_threads
[2017-03-22 22:17:46] GPU #0: no data
For monero hash i get the below....
ccminer -o stratum+tcp://monerohash.com:3333 -u 42uGK1HXuTWbF2hDrXD5WSacU79aM2jax9E94MtHayTCTxT2wioj84y1VCBLSC3icvU26MCtNxPCJMU
PJxJKYo2nDWj3yKH -p x -D -P
*** ccminer 1.8.4 for nVidia GPUs by tpruvot@github ***
Built with the nVidia CUDA Toolkit 8.0
Originally based on Christian Buchner and Christian H. project
Include some algos from alexis78, djm34, sp, tsiv and klausT.
BTC donation address: 1AJdfCpLWPNoAMDfHF1wD5y8VgKSSTHxPo (tpruvot)
[2017-03-22 22:20:11] POOL 0: monerohash.com:3333 USER 42uGK1HXuTWbF2hDrXD5WSacU79aM2jax9E94MtHayTCTxT2wioj84y1VCBLSC3icvU26MCtNxPCJMU
PJxJKYo2nDWj3yKH -s 10
[2017-03-22 22:20:11] Starting on stratum+tcp://monerohash.com:3333
[2017-03-22 22:20:11] restart_threads
[2017-03-22 22:20:11] CUDA GPU 0 matches NVML GPU 0 by busId 1
[2017-03-22 22:20:11] NVML GPU monitoring enabled.
[2017-03-22 22:20:11] 1 miner thread started, using 'auto' algorithm.
* About to connect() to monerohash.com port 3333 (#0)
* Trying 107.191.99.95... * TCP_NODELAY set
* connected
* Connected to monerohash.com (107.191.99.95) port 3333 (#0)
* Connection #0 to host monerohash.com left intact
[2017-03-22 22:20:11] > {"id": 1, "method": "mining.subscribe", "params": ["ccminer/1.8.4"]}
[2017-03-22 22:20:11] < {"id":1,"jsonrpc":"2.0","error":{"code":-1,"message":"invalid method"}}
[2017-03-22 22:20:11] JSON-RPC call failed: {
"message": "invalid method",
"code": -1
}
[2017-03-22 22:20:11] > {"id": 1, "method": "mining.subscribe", "params": []}
[2017-03-22 22:20:11] < {"id":1,"jsonrpc":"2.0","error":{"code":-1,"message":"invalid method"}}
[2017-03-22 22:20:11] JSON-RPC call failed: {
"message": "invalid method",
"code": -1
}
* Closing connection #0
[2017-03-22 22:20:11] ...retry after 30 seconds
[2017-03-22 22:20:12] sleeptime: 500 ms
[2017-03-22 22:20:13] GPU #0: no data
[2017-03-22 22:20:13] sleeptime: 500 ms
[2017-03-22 22:20:14] GPU #0: no data