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Date: Sun, 11 Aug 2013 13:32:12 -0400
From: kzug <>
Subject: Re: Cuda issues on OSX


Thanks to you both for your replies, 

Add /usr/local/cuda/bin to your PATH.
It corrected the issue of nvcc not found but opened a bunch of others.  

Ditto, both -gpu and -opencl

common-opencl.c: In function ‘opencl_find_best_workgroup_limit’:
common-opencl.c:188: error: ‘CL_KERNEL_PREFERRED_WORK_GROUP_SIZE_MULTIPLE’ undeclared (first use in this function)
common-opencl.c:188: error: (Each undeclared identifier is reported only once
common-opencl.c:188: error: for each function it appears in.)
make[1]: *** [common-opencl.o] Error 1
make: *** [macosx-x86-64-opencl] Error 2

I want to thank you both for your replies and effort, but I am giving up. 
I'll probably wait until I can put hands on a more recent OS & machine to try again. 

Thanks to you both. 

Best regards

On SundayAug 11, 2013, at 11:29 AM, Solar Designer wrote:

> kzug -
> On Sun, Aug 11, 2013 at 04:25:39PM +0200, magnum wrote:
>> On 11 Aug, 2013, at 16:11 , kzug <> wrote:
>>> I have a bit of an issue compiling JtR Cuda and any help would be appreciated: 
>>> When attempting to compile with  "make clean macosx-x86-64-cuda"
>>> I got the following error: 
>>> cd cuda; nvcc -c -Xptxas -v -arch sm_10 -m64 -o ../cuda_common.o
>>> /bin/sh: nvcc: command not found
>> Add /usr/local/cuda/bin to your PATH.
> Besides setting the proper PATH, you will likely want to use the -gpu or
> -opencl make target to build JtR for, not -cuda.  Our OpenCL kernels are
> more numerous and (maybe counter-intuitively) generally faster than CUDA
> ones.  So you'll probably want to use the -opencl formats, not -cuda ones.
> In part this is related to auto-tuning, which is available in many of
> our OpenCL-enabled JtR formats, but not in any of the CUDA ones - so
> to get good speeds out of CUDA you'd have to edit some .h files to fit
> your specific GPU better (there is some info on that in doc/README-CUDA).
> With most of our OpenCL-enabled formats, there's no such issue - so just
> use those instead of CUDA ones.
> Alexander

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