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From: Nikos Chantziaras <realnc@arcor.de>
Subject: [gentoo-user] Re: IDE recommendations for writing C?
Date: Sun, 06 Feb 2011 20:19:18 +0200
Organization: Lucas Barks
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On 02/06/2011 07:42 PM, Mark Knecht wrote:
> On Sun, Feb 6, 2011 at 9:09 AM, Nikos Chantziaras<realnc@arcor.de> wrote:
>> On 02/06/2011 12:08 AM, Mark Knecht wrote:
>>>
>>> Can someone recommend a good IDE to write C code in?
>>> [...]
>>
>> I use Qt Creator. Though it's primarily for C++, I also use it for C. I
>> recommend it because it's very easy to use. For version control, it
>> supports Git, Subversion, Mercurial and Perforce.
>>
>> If you decide to use it and also make use of its own build system (qmake),
>> post about it so I can tell you how to configure a project for plain C,
>> because by default new projects are C++.
>
> I'll take a look at it. Do you recommend the testing 2.0 versions or stable 1.3?
I use 2.1.0_rc1 since it came out. Turned out to be very stable.
> At this time I have no need for GUI development. The app I want to do
> right now could run on the command line. However getting started with
> something that did support eventually doing a GUI would be nice as
> long as it doesn't kill me.
I use it both for GUI as well as for plain C CLI apps.
> As for the C vs C++ issue, I only say C because the NVidia nvcc
> compiler seems to be primarily a C compiler. It's not until you get to
> Appendix D in the programming guide that they even mention C++ in the
> context of CUDA.
I started studying CUDA development recently too. While reading the
examples that come with the SDK, I found out that they're all C++
though. The reason you can use C is that C is actually valid C++ (most
of the time.)
> That said, however, my understanding of what nvcc does is that what it
> really does breaks apart the *.cu input files into portions that are
> sent to the CUDA compiler, and portions that are sent to gcc. I
> suspect the gcc/host computing side can be whatever is legal for gcc.
> All I need, as best I understand it today, is to call nvcc instead of
> gcc.
nvcc compiles into C++. The end result is then compiled with g++ and
linked with the CUDA libraries. This is normally done automatically by
nvcc, unless you use the --cuda option. For example, to suppress that
automation, you can compile a CUDA program with:
nvcc --cuda myprogram.cu
"myprogram.cu" can be something as simple as:
int main()
{ return 0; }
This will "compile" the program into "myprogram.cu.cpp". This can then
be compiled manually with g++:
g++ myprogram.cu.cpp -L/opt/cuda/lib64/ -lcudart
It's just that nvcc does that automatically for you.