Available Compilers

We are currently supporting two Compiler Suites on the Linux platform:

• The Intel Compiler Suite is located in the /opt/ics directory. The version is 12.1. The compilers ifort and icc are in the /opt/ics/composer_xe_2011_sp1.6.233/bin/intel64 directory. Various libraries are in the /opt/ics/lib/intel64 directory.
• As part of the CentOS distribution, we also have the Gnu C/C++ and Fortran Compilers called gcc, g++ and gfortran, respectively. They are installed in /usr/bin.

Setup

• For setting up the Intel Compiler Suite you need to issue the command

  use icsmpi

  . This replaces the issuing of lengthy setting for environment variables by a simple command use. It also adds the proper directories to the PATH variable.

• The public-domain compilers "gcc" and "gfortran" are available by default, i.e. they require no set-up. The current version for these is 4.4.7-4. Sometimes these compilers are required when compiling public-domain programs. We recommend the use of these compilers unless Intel is required to improve performance.

Compiling and Linking

• The Intel compilers are called ifort and icc for Fortran (all versions) and C/C++, respectively.
• The public-domain gnu compilers are called gcc, g++, and gfortran for C, C++, and Fortran (all versions), respectively.

Compiling and linking is best done with a makefile. Here are a few common flags. Consult man pages for specific details (for instance "man gcc").

Compiling

compiler -c [options] name.ext

where "compiler" stands for the compiler name, for instance "gfortran" for the GNU Fortran compiler. The file extension "ext" determines what source code is being compiled, for instance "f" means "fixed format" Fortran, f90 means "free format" Fortran (90), or "c" stands for C. "[options]" denotes additional compiler flags that usually start with a '-'.

Linking

compiler -o name [options] [libraries] list

"compiler" see above. "name" is the name of the executable (if not specified, the default is "a.out". [options] see above. [libraries] is a list of libraries that need to be linked in, usually as a list of file names with full path, or as '-L' and '-l' combinations [see below]. "list" means a list of object files, usually with ".o" extension.

Using the compilers and the linker in the above manner requires the proper setting of the PATH environment variable, i.e. prior set-up.

Options / flags

There are hundreds of compiler flags, and many of them are not required most of the time. A few that are in more frequent use are:

• -On optimizes your code. "n" is a number from 1 to 5 with increasing severity of alterations made to the code, but also increasing gain. Up to -xO3 is generally rather safe to use. But you should, of course, always check results against an un-optimized version: they might differ.
• -g produces code that can be debugged. -g and -On are not necessarily mutually exclusive, but optimization may make debugging difficult, because it alters the relationship between source code and executable. This is a good flag to have in the development stage of a program, but is usually dropped later.
• -V (or -v) produces the version of the compiler.
• -lname is used to bind in a library called libname.a (static) or libname.so (dynamic). This flag is used to link only.
• -L dirname is used in conjunction with -lname and lets the linker know where to look for libraries. "dirname" is a directory name such as /opt/studio12/SUNWspro/prod/lib.
• -Rdirname is used to tell the program where to get dynamic libraries at runtime.

There are many more flags. They are documented in the man pages (e.g. "man ifort" for the Intel Fortran compiler), as well in the documentation for the compiler. Some compiler flags are only useful for parallel programs and will be discussed later.

Documentation

The best way to get a quick list of compiler options is to use the "man pages". Just type "man compiler" where "compiler" stands for the name of the compiler you want to use, and get a long explanation of all the relevant options. This is not very user-friendly, but great for a quick look-up.

• Documentation for the Intel Fortran Compiler can be found here.
• Documentation for the Intel C/C++ Compiler can be found here.
• All Gnu compilers are documented here.

Some Tools

Standard debugging and profiling tools such as Sun Studio are designed for serial or multi-threaded programs. They do not handle multi-process runs very well.

Quite often, the best way to check the performance of an MPI program is timing it by insertion of suitable routines. MPI supplies a "wall-clock" routine called MPI_WTIME(), that lets you determine how much actual time was spent in a specific segment of your code. An other method is calling the subroutines ETIME and DTIME, which can give you information about the actual CPU time used. However, it is advisable to carefully read the documentation before using them with MPI programs. In this case, refer to the Sun Studio 12: Fortran Library Reference.

We also provide a package called the HPCVL Working Template (HWT), which was created by Gang Liu. The HWT provides 3 main functionalities:

• Maintenance of multiple versions of the same code from a single source file. This is very useful, if your MPI code is based on a serial code that you want to convert.
• Automatic Relative Debugging which allows you to use pre-existing code (for example the serial version of your program) as a reference when checking the correctness of your MPI code.
• Simple Timing which is needed to determine bottlenecks for parallelization, to optimize code, and to check its scaling properties.

The HWT is based on libraries and script files. It is easy to use and portable (written largely in Fortran). Fortran, C, C++, and any mixture thereof are supported, as well as MPI and OpenMP for parallelism. Documentation of the HWT is available. The package is installed on our clusters in /opt/hwt.

Help

Send email to cac.help@queensu.ca. We have scientific programmers on staff who will probably be able to help you out. Of course, we can't do the coding for you but we do our best to get your code ready for parallel machines and clusters.