[Oisf-users] suricata-2.0rc3 'make' error with Nvidia K20/Tesla

[Shant Kassardjian]

Hello,

I'm having trouble compiling suricata-2.0rc3 with Nvidia K20 as I get the following 'make' error while compiling:

usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_10 -arch=sm_10 -ptx util-mpm-ac-cuda-kernel.cu
util-mpm-ac-cuda-kernel.cu: In function `SCACCudaSearch32':
util-mpm-ac-cuda-kernel.cu:79: warning: cast to pointer from integer of different size
./util-mpm-ac-cuda-kernel.cu(54): Warning: Cannot tell what pointer points to, assuming global memory space
./util-mpm-ac-cuda-kernel.cu(87): Warning: Cannot tell what pointer points to, assuming global memory space
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_11 -arch=sm_11 -ptx util-mpm-ac-cuda-kernel.cu
util-mpm-ac-cuda-kernel.cu: In function `SCACCudaSearch32':
util-mpm-ac-cuda-kernel.cu:79: warning: cast to pointer from integer of different size
./util-mpm-ac-cuda-kernel.cu(54): Warning: Cannot tell what pointer points to, assuming global memory space
./util-mpm-ac-cuda-kernel.cu(87): Warning: Cannot tell what pointer points to, assuming global memory space
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_12 -arch=sm_12 -ptx util-mpm-ac-cuda-kernel.cu
util-mpm-ac-cuda-kernel.cu: In function `SCACCudaSearch32':
util-mpm-ac-cuda-kernel.cu:79: warning: cast to pointer from integer of different size
./util-mpm-ac-cuda-kernel.cu(54): Warning: Cannot tell what pointer points to, assuming global memory space
./util-mpm-ac-cuda-kernel.cu(87): Warning: Cannot tell what pointer points to, assuming global memory space
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_13 -arch=sm_13 -ptx util-mpm-ac-cuda-kernel.cu
util-mpm-ac-cuda-kernel.cu: In function `SCACCudaSearch32':
util-mpm-ac-cuda-kernel.cu:79: warning: cast to pointer from integer of different size
./util-mpm-ac-cuda-kernel.cu(54): Warning: Cannot tell what pointer points to, assuming global memory space
./util-mpm-ac-cuda-kernel.cu(87): Warning: Cannot tell what pointer points to, assuming global memory space
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_20 -arch=sm_20 -ptx util-mpm-ac-cuda-kernel.cu
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_21 -arch=sm_21 -ptx util-mpm-ac-cuda-kernel.cu
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_30 -arch=sm_30 -ptx util-mpm-ac-cuda-kernel.cu
/usr/bin/nvcc -O2 -o util-mpm-ac-cuda-kernel.ptx_sm_35 -arch=sm_35 -ptx util-mpm-ac-cuda-kernel.cu
nvcc fatal   : Value 'sm_35' is not defined for option 'gpu-architecture'
make[2]: *** [util-mpm-ac-cuda-kernel.ptx_sm_35] Error 255
make[2]: Leaving directory `/home/skassardjian/suricata-2.0rc3/src'
make[1]: *** [all-recursive] Error 1
make[1]: Leaving directory `/home/skassardjian/suricata-2.0rc3'
make: *** [all] Error 2

nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2012 NVIDIA Corporation
Built on Thu_Apr__5_00:24:31_PDT_2012
Cuda compilation tools, release 4.2, V0.2.1221

If I use suricata 1.4.7, I can compile cuda properly with no error however I'm missing ac-cuda algo.

24/3/2014 -- 18:10:36 - <Info> - This is Suricata version 1.4.7 RELEASE
24/3/2014 -- 18:10:36 - <Info> - CPUs/cores online: 40
24/3/2014 -- 18:10:38 - <Info> - GPU Device 1: Tesla K20Xm, 14 Multiprocessors, 732MHz, CUDA Compute Capability 3.5
CUDA Cards recognized by the suricata CUDA module -
|-----------------------------------------------------------------------------|
| Device Id  |     Device Name      |   Multi-   | Clock Rate | Cuda Compute  |
|            |                      | Processors |    (MHz)   | Capability    |
|-----------------------------------------------------------------------------|
| 0          | Tesla K20Xm          | 14         | 732        | 3.5           |
|-----------------------------------------------------------------------------|


I'm using Debian wheezy gcc4.7 with cuda toolkit 4.2.9-2 and nvidia-kernel-amd64 304.88.

Any help is appreciated :)

Shant K.


 		 	   		  
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