fatal error cutil.h Jacksonburg West Virginia

Address 481 Lemley Ridge Rd, Littleton, WV 26581
Phone (304) 377-4344
Website Link http://www.guardsmanpcrepair.com
Hours

fatal error cutil.h Jacksonburg, West Virginia

Why are empty blocks not all the same size? Does it matter which side up a seed is planted? [email protected]:~/vfray$ nvcc --compiler-bindir=./jdir -arch=sm_20 -c -Xptxas="-v" vfRay.cu -I/home/antonio/NVIDIA_GPU_Computing_SDK/C/common/inc/ vfRay.cu:48: fatal error: vfRayKernel.cu: No such file or directory compilation terminated. Another copy of cutil.h can be found at the following link www2.icmc.usp.br/~castelo/CUDA/.../inc/cutil.h share|improve this answer answered Mar 1 '13 at 20:49 mortonjt 355314 add a comment| Your Answer draft saved

Does chilli get milder with cooking? Not the answer you're looking for? So, assuming you have followed the instructions and you have added the PATH and LIB directories to your environment variables you still need to point to the CUDA SDK includes and What does かぎのあるヱ mean?

But the compiler reports the following.. Is there an equivalent header file to 'cutil.h' which might be found in include folder. –brkorkut Jul 24 '12 at 19:01 add a comment| 1 Answer 1 active oldest votes up Thanks for the suggestion. –mortonjt Feb 12 '13 at 2:28 add a comment| up vote 0 down vote I just find out that the Assembla link is broken. Sed replace specific line in file Why does argv include the program name?

make[1]: Leaving directory `/home/antonio/vfray' make -f MakefileCUDA make[1]: Entering directory `/home/antonio/vfray' g++ -fPIC -o .///vfRay .///vfRayPreComp.o .///vfRay.cu_o -L/usr/local/cuda/lib64 -L/usr/local/cuda/SDK/C/lib -L/usr/local/cuda/SDK/C/common/lib -lcudart -lGL -lGLU -lglut -L/usr/local/cuda/lib64 -L/usr/local/cuda/SDK/C/lib -L/usr/local/cuda/SDK/C/common/lib -lcutil /usr/bin/ld: cannot find current community chat Stack Overflow Meta Stack Overflow your communities Sign up or log in to customize your list. EDIT 2: The code you are trying to compile is relying on the NVIDIA GPU Computing SDK. Can a Legendary monster ignore a diviner's Portent and choose to pass the save anyway?

Truth in numbers My CEO wants permanent access to every employee's emails. How do I explain that this is a terrible idea? Browse other questions tagged cuda or ask your own question. Join them; it only takes a minute: Sign up Trouble compiling cuda code up vote -2 down vote favorite 1 I want to compile this volume rendering project.

Can Communism become a stable economic strategy? How to cope with too slow Wi-Fi at hotel? Is it appropriate to tell my coworker my mom passed away? A better way to evaluate a certain determinant How to mount a disk image from the command line?

[email protected]:~/jdir$ cd .. 6. nvcc -I/usr/local/cuda/include -L/usr/local/cuda/lib matrixmul.cu -o matrixmul matrixmul.cu:6: fatal error: cutil.h: No such file or directory compilation terminated –NDGibson Sep 5 '12 at 16:57 cutil.h is included in the SDK, Is accuracy a binary? [email protected]:~$ ls -l jdir total 0 lrwxrwxrwx 1 user user 12 2011-08-31 08:34 gcc -> /usr/bin/gcc-4.4 5.

Good Term For "Mild" Error (Software) Does chilli get milder with cooking? How to decrypt a broken S/MIME message sent by Outlook? I was able to compile this program from my home folder: resultsovercoffee.com/2011/01/our-first-cuda-c-program.html I got one warning that didn't seem to affect my success: "/usr/bin/ld: skipping incompatible /usr/local/cuda/lib/libcudart.so when searching for -lcudart" Sorry for my english :D c++ c cuda share|improve this question asked Jul 31 '13 at 11:40 sim186 137 If it is a C++ library, you will not be

more stack exchange communities company blog Stack Exchange Inbox Reputation and Badges sign up log in tour help Tour Start here for a quick overview of the site Help Center Detailed asked 5 years ago viewed 1594 times active 5 years ago Related 0Modifying a makefile to include externally compiled objects0makefile to compile opencv with cuda in ubuntu stopped working2Why can't CUDA's Join them; it only takes a minute: Sign up Workaround cutil.h up vote 0 down vote favorite I'm trying to use a software package called GPU-HMMER that was configured using CUDA In nomenclature, does double or triple bond have higher priority?

However, it throws the following error: cuda_kernel.cu:1:19: fatal error: cutil.h: No such file or directory I realize that CUDA 5.0 doesn't have this file and I'm unsure about how I can Security Patch SUPEE-8788 - Possible Problems? I installed the CUDA toolkit and SDK on my Ubuntu 10.10 machine and have been able to run its examples, yet I'm getting this: [email protected]:~/vfray$ make make -f MakefileCPU make[1]: Entering Very likely, if you worked past this fstream issue, you might run into another one, depending on what components out of the cutil project you are actually using.

How do I explain that this is a terrible idea? (KevinC's) Triangular DeciDigits Sequence How to handle a senior developer diva who seems unaware that his skills are obsolete? more hot questions question feed default about us tour help blog chat data legal privacy policy work here advertising info mobile contact us feedback Technology Life / Arts Culture / Recreation Now i try to compile it on CUDA 5.0 but i have some problem with cutil.h, i have changed cutil to helper_cuda.h and i receive this error always: In file included I'm new to stackoverflow - perhaps this is out of scope, but any reason why you don't like to use the CUDA SDK libs?

Not the answer you're looking for? What kind of bicycle clamps are these? How is the Heartbleed exploit even possible? I believe this won't work until the makefile is modified. –andandandand Aug 31 '11 at 15:26 Just modify the makefile with the --compiler-bindir options I provided in my answer.

This is what I get when I build using this command line string: nvcc -I/CUDA_SDK_PATH/C/common/inc -L/CUDA_SDK_PATH/C/lib matrixmul.cu -o matrixmul matrixmul.cu:6: fatal error: cutil.h: No such file or directory compilation terminated. The rig has two NVIDIA Tesla GPUs, and I'm able to compile and run test programs from the NVIDIA GPU Computing SDK such as deviceQuery, deviceQueryDrv, and bandwidthTest. The original question is "Trouble compiling CUDA code".