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cbuchner1 avatar cbuchner1 commented on August 18, 2024

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

β€”
Reply to this email directly or view it on GitHubhttps://github.com//issues/51
.

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nazargulov avatar nazargulov commented on August 18, 2024

Available 6 version. What do you think about this?

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cbuchner1 avatar cbuchner1 commented on August 18, 2024

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?

β€”
Reply to this email directly or view it on GitHubhttps://github.com//issues/51#issuecomment-31001604
.

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nazargulov avatar nazargulov commented on August 18, 2024

the toolkit 5.5 does not help me.

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nazargulov avatar nazargulov commented on August 18, 2024

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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nazargulov avatar nazargulov commented on August 18, 2024

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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nazargulov avatar nazargulov commented on August 18, 2024

I changed code="sm_20,compute_20". It solved my problem!

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