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Newbie miner here. I'm having trouble getting -cuda working. Pretty sure that it's now connecting (used to get a CURL 22 error, don't anymore).
I'm running with an Nvidia 280M and Win7 64-Bit Pro.
The matrix location varies before it ends. Sometimes it stops at (128, 128), (128, 256), etc. From what I've read from Nvidia's site there should be 128 CUDA cores for my card, but I'm not finding any solution with/without the gputhread or gpugrid arguments.
Any suggestions?
I'm running with an Nvidia 280M and Win7 64-Bit Pro.
Code:
rpcminer-cuda.exe -url=http://deepbit.net:8332 -user=user -password=pass -threads=1 -aggression=6
Client will start 1 miner threads
Work will be refreshed every 4000 ms
1 CUDA GPU devices found
Setting CUDA device to first device found
Loading module bitcoinminercuda_11.cubin
CUDA initialized
Done allocating CUDA resources for (16,16)
Finding best configuration step end (16,16) 1804ms prev best=9223372036854775807ms
Done allocating CUDA resources for (16,32)
Finding best configuration step end (16,32) 904ms prev best=1804ms
Done allocating CUDA resources for (16,64)
Finding best configuration step end (16,64) 455ms prev best=904ms
Done allocating CUDA resources for (16,128)
Finding best configuration step end (16,128) 245ms prev best=455ms
Done allocating CUDA resources for (16,256)
Finding best configuration step end (16,256) 167ms prev best=245ms
Done allocating CUDA resources for (32,16)
Finding best configuration step end (32,16) 930ms prev best=167ms
Done allocating CUDA resources for (32,32)
Finding best configuration step end (32,32) 455ms prev best=167ms
Done allocating CUDA resources for (32,64)
Finding best configuration step end (32,64) 245ms prev best=167ms
Done allocating CUDA resources for (32,128)
Finding best configuration step end (32,128) 166ms prev best=167ms
Done allocating CUDA resources for (32,256)
Finding best configuration step end (32,256) 162ms prev best=166ms
Done allocating CUDA resources for (64,16)
Finding best configuration step end (64,16) 476ms prev best=162ms
Done allocating CUDA resources for (64,32)
Finding best configuration step end (64,32) 245ms prev best=162ms
Done allocating CUDA resources for (64,64)
Finding best configuration step end (64,64) 167ms prev best=162ms
Done allocating CUDA resources for (64,128)
Finding best configuration step end (64,128) 162ms prev best=162ms
Done allocating CUDA resources for (64,256)
Finding best configuration step end (64,256) 160ms prev best=162ms
Done allocating CUDA resources for (128,16)
Finding best configuration step end (128,16) 461ms prev best=160ms
Done allocating CUDA resources for (128,32)
Finding best configuration step end (128,32) 236ms prev best=160ms
Done allocating CUDA resources for (128,64)
Finding best configuration step end (128,64) 162ms prev best=160ms
Done allocating CUDA resources for (128,128)
Finding best configuration step end (128,128) 161ms prev best=160ms
Done allocating CUDA resources for (128,256)
Finding best configuration step end (128,256) 160ms prev best=160ms
Done allocating CUDA resources for (64,256)
No blocks are being hashed right now. This can happen if the application is still starting up, you supplied incorrect parameters, or there is a communications error connecting to the RPC server.
The matrix location varies before it ends. Sometimes it stops at (128, 128), (128, 256), etc. From what I've read from Nvidia's site there should be 128 CUDA cores for my card, but I'm not finding any solution with/without the gputhread or gpugrid arguments.
Any suggestions?
Can anyone give me some advice?
