I am looking for a Fortran library that makes it easier to use Scalapack in my projects. It seems that using Scalapack without anything is very verbose and I was wondering if anyone has packed this into Fortran 2003 objects. I have seen similar things for C++ or Python. This attempt seems to have died a while ago:
https://github.com/dftbplus/scalapackfx
Are there any libraries that make it easier to use Scalapack?
There is some documentation for scalapackfx at
https://aradi.bitbucket.io/scalapackfx/index.html
Is there a feature you need that is not present in the library?
Related
I am new to C++, with some training using fortran95. Trying to convert my knowledge into the new syntax but have run into a snag.
Many of my programs use modules with subroutines, and subroutines within subroutines and use of functions from a library described by NAG.com which are readily available and searchable.
I am currently looking for a c++ version of
http://www.nag.com/numeric/FL/manual/pdf/F08/f08naf.pdf
From what I have read so far, these libraries exist for c++ and I have used some simple ones thus far(like vector, cmath, math.h) but only ones that are already included in my Xcode package for my mac.
I haven't seen anybody mention one of these which my be included with my Xcode, and I am lacking in how to implement outside libraries I find. I am interested particularly in using:
http://www.alglib.net/download.php
Thus far I have been using subrutines as void type functions and simply including them in all of my code. But my code is becoming exceedingly cumbersome and I would like to make something similar to a fortran module to do chebyshev calculations. And I would much rather find a good library of eignevalue calculators and maybe even chebyshev calculators, . . . which I can use.
Essentially my question is, how do I implement external libraries I find and does anybody have a recommendation for a good one? How can I make my own code which contains a callable set of functions and then call it from within another piece of code?
If I understand right, the part of the NAG library you're using in Fortran is basically LAPACK. There is a C interface to LAPACK, called LAPACKE (http://www.netlib.org/lapack/lapacke.html). You can use it in a C++ program.
I didn't understand the other parts of your question.
I am developing a C++ MPI application. I have some existing code that is a C MPI application which partly do what I want, so I should be able to copy some of the code (or rewrite it in a cleaner C++ way) into my new program. Since the C++ interface to MPI is being deprecated (and it is much harder to find documentation), I am seriously considering using the C interface to MPI in my C++ application. Is it a god idea to mix the C MPI interface with a C++ MPI application, or do I really need to learn to use Boost?
There is no harm in using a C API from a C++ application. Many popular APIs are written in C (the Windows API comes to mind as an example. Or POSIX. Or SQLite, zlib, Python or dozens and dozens of others).
So if that seems like the most convenient solution, go ahead and use the C API. It should be fairly easy to write some thin rappers to C++'ify it a bit yourself.
But apart from this, it is always a good idea for a C++ developer to learn and use Boost. Since Boost has a MPI library, it may, at the very least, be worth checking it out.
And in the end, go with what seems easiest to use for you, in your situation.
is there a multiplatform c++ compiler that could be linked into any software ?
Lets say I want to generate c++ code at runtime, compile it and run it.
I'm looking for a compact solution (bunch of classes), preferably LGPL/BSD licence :)
As far as I know it can be done in Java and c#. What about c++ ?
Well maybe one of the modules of CLang will be of help? It's not dry yet on the C++ side but certainly will be soon.
I don't know of any open source ones for C++, but if you want small and compact scripting and are not hung up on C++ LUA might be an option for you
I'd drop C++ altogether and use Google V8. If you wanted to use C++ because the people using your app only know this, they should have no difficulties going to javascript.
And it's damn fast. And Javascript is a cool language too.
I've done this years ago in Linux by generating C++-code into a file, compile it by shell execute (with gcc) and then linking in the generated library dynamically. The dynamic linking differs of course between platforms.
This kind of thing is much much harder in C++, because the language doesn't use a virtual machine (or "runtime") that abstracts machine specifics away.
You could look into gcc, it's under the GPL IIRC, and ports exist for all major platforms.
When we looked into scripting we chose AngelScript because of the similarity with C++.
V8 is great but it's certainly limited to some platforms, AngelScript is a lot easier to compile with and probably to learn (if you came from C++) and it has a zlib license.
http://www.angelcode.com/angelscript/
I'm coming to C++ from a .Net background. Knowing how to use the Standard C++ Libraries, and all the syntax, I've never ventured further. Now I'm looking learning a bit more, such as what libraries are commonly used? I want to start getting into Threading but have no idea to start. Is there a library (similar to how .net has System.Threading) out there that will make it a bit easier? I'm specifically looking to do Linux based network programming.
For C++, Boost is your everything. Threading and networking are among the things it offers. But there's much more:
Smart pointers
Useful containers not found in the STL, such as fixed-size arrays and hashtables
Closures
Date/time classes
A foreach construct
Min/max functions
Command line option parsing
Regular expressions
As the others have said, Boost is great. It implements the C++ Technical Report 1 in addition to tons of other stuff, including some mind-blowing template metaprogramming tricks.
For other cross-platform features not provided by Boost, I've had very good luck with a library called Poco. I've worked on commercial projects that incorporated its simple HTTP server, for instance, and it treated us quite well.
lots of boost suggestions, but Qt is another good option. It's got great support for threading and networking along with pretty much everything else.
http://qt.nokia.com/products
If you are looking into network programming and are not interested into GUI, I suggest Boost libraries: in particular, Asio.
There's no standard multithreading library, but the boost library includes a platform-independent multithreading abstraction that works very well.
I have some code which I need to code in C++ due to heavy reliance on templates. I want to call this code from MATLAB: basically, I need to pass some parameters to the C++ code, and have the C++ code return a matrix to MATLAB. I have heard this is possible with something called a MEX file which I am still looking into. However I am not sure what is supported in these MEX files. Is all of C++ (e.g. STL and Boost) supported? How difficult is it?
EDIT: I don't need any shared libraries, just header-only stuff like shared_ptr.
Have a look at the MEX-files Guide, especially Section 25–27 for C++.
The basic STL/Boost data structures should work, but threading with Boost could be a problem.
cout will not work as expected in C++, mexPrintf has to be used instead.
It's certainly possible to write C++ MEX files which use STL and boost. In general, you should be able to do anything you please inside a C++ MEX file. The main practical restriction is that MATLAB already ships with a bunch of libraries, so if you're using one of the boost pieces that needs a shared library (some are header-only), you'll need to match the version you compile against with that shipping with MATLAB.
For instance, MATLAB R2009b ships with boost 1.36 (you can tell by looking at the names of the libraries in <matlabroot>/bin/<arch>).
The C++ files are actually compiled by an external compiler. Use mex -setup to select which one (here is a list of supported compilers). Therefore, you shouldn't have too many weird things happen, nor should you be too restricted by what you can do.
I did some MEX stuff last year, and my memory is a bit rusty, but you do need to construct MATLAB arrays using MEX functions. I found the MATLAB documentation adequate, and the whole experience not too painful.
STL is definitely supported. Boost probably yet. The point is as long you have your STL and BOOST deployed on your computer, you should be good to go.