Comments (7)
before your report I did not even know that a "be.exe" existed as part of
the CUDA toolkit.
My recommendation would be to upgrade to toolkit 5.5 and to try again (this
upgrade is responsible for realizing the 30% speed gains on some Kepler
devices, with the 5.0 toolkit you might only see 10%).
2013/12/20 nazargulov [email protected]
Error 39 error : C:\Program Files\NVIDIA GPU Computing
Toolkit\CUDA\v5.0\bin/../open64/lib//be.exe returned non-zero status 1
D:\CUDA\LTC\CudaMiner-master\CUDACOMPILE—
Reply to this email directly or view it on GitHubhttps://github.com//issues/51
.
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Available 6 version. What do you think about this?
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Haven't tested against CUDA 6 yet. The last time I tried to install it on
my Ubuntu 12.04.3 machine, I had a really bad setup experience - took a few
hours to get it back into a working state.
Is CUDA 6 publicly available yet? the last time I checked it was only given
as an early preview to selected developers.
Christian
2013/12/20 nazargulov [email protected]
Available 6 version. What do you think about this?
—
Reply to this email directly or view it on GitHubhttps://github.com//issues/51#issuecomment-31001604
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the toolkit 5.5 does not help me.
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1>ptxas : error : Entry function '_Z29fermi_scrypt_core_kernelB_texILi14ELi1EEvPj' uses too much shared data (0x8c14 bytes, 0x4000 max)
1>ptxas : error : Entry function '_Z25fermi_scrypt_core_kernelBILi14EEvPj' uses too much shared data (0x8c14 bytes, 0x4000 max)
1>ptxas : error : Entry function '_Z25fermi_scrypt_core_kernelAILi14EEvPj' uses too much shared data (0x8c14 bytes, 0x4000 max)
1>ptxas : error : Entry function '_Z29fermi_scrypt_core_kernelB_texILi14ELi2EEvPj' uses too much shared data (0x8c14 bytes, 0x4000 max)
....
....
and etc.
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1>C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\BuildCustomizations\CUDA 5.5.targets(592,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.5\bin\nvcc.exe" -gencode=arch=compute_10,code="sm_10,compute_10" --use-local-env --cl-version 2010 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\bin" -I. -Icompat -Icompat\jansson -Icompat\getopt -I"..\pthreads\Pre-built.2\include" -I"..\curl-7.29.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.5\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.5\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v5.5\include" -G --keep --keep-dir Debug -maxrregcount=124 --ptxas-options=-v --machine 32 --compile -cudart static -g -DWIN32 -D_DEBUG -D_CONSOLE -D_CRT_SECURE_NO_WARNINGS -DCURL_STATICLIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /Od /Zi /RTC1 /MDd " -o Debug\fermi_kernel.cu.obj "D:\CUDA\LTC\CudaMiner-master\fermi_kernel.cu"" exited with code -1.
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I changed code="sm_20,compute_20". It solved my problem!
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Related Issues (20)
- Security: risk of buffer overflow in submit_upstream_work
- Quirks, Could Become Advantageous.
- .
- Cant compile with compute_10 HOT 5
- unsupported GNU version! gcc 4.9 and up are not supported! HOT 2
- FTBFS: nonrepresentable section on final link output. HOT 2
- cudaerror 30 HOT 4
- nvcc fatal : Value 'compute_10' is not defined for option 'gpu-architecture' HOT 1
- cudaError 78 HOT 6
- cudaError 13 & not validate on CPU for compute capability 5.0
- Error compiling Cudaminer HOT 5
- CudaError 30 HOT 2
- ptxas error while compile BUT fix included! HOT 11
- Share is above target with ALGO = SCRYPT
- cudaError 30
- Makefile:92: recipe for target 'obj/convolutional_kernels.o' failed
- New to this HOT 2
- cudaError 30
- error at configure, eror massage is "configure: error: OpenSSL library required" HOT 3
- ptxas error : Invalid value 'no' for option -abi. on CUDA 11 HOT 4
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