As such you will need to add the location of the new compiler to the PATH environment variable. Now you need to make sure your operating system can also find the installed compiler and tool-chain. Just unzip the folders in the location of your choice, et voilà, the compiler has been installed.My choice was mainly based on the large number of downloads of this version. And then I followed the path Toolchains targetting Win64 > Personal Builds > mingw-builds > 5.3.0 > threads-posix > seh. Of course you could follow any of the other paths as well.Under Windows follow the link snapshots under MinGW64 for Win64.Under Quick Links follow the link Binaries for windows.(Once TDM catches up to gcc-5.3 I suggest getting that one instead.) Luckily, this problem is resolved for gcc-5.3.0, so we will be getting this one instead. It is true that the installation runs very smoothly (and I would suggest it for this reason alone). Unfortunately the most recent gcc version available (at the time of writing this blogpost) was gcc-5.1.0 which gives rather nasty segmentation faults when trying to compile and test Lapack under windows. Installing the compilerĪ common suggestion for installing a 64bit version of gfortran is the use of the TDM-GCC MingW compiler-installer.

Legend: Menu-paths / Important / Errors A. So you need to install a new compiler capable of providing 64-bit programs. (In practice, generally you will not even reach 4Gb before running into problems.) This is because the memory address of your data is stored as a 32-bit value (2 32 = 4 294 967 296 = 4Gb) so the only way out of this predicament is a “larger address” aka 64-bit. You may first start to look for ways of increasing the stack-size of your program, but you will soon discover that the problem is more profound: a 32-bit program cannot access address spacing beyond 4Gb. When we installed a fortran compiler and the code::blocks IDE, the default fortran compiler generated 32-bit programs. This generally is not an issue, unless you need a large amount of memory, for example to store a temporary array with 400 3 double precision coordinates (as I did for a project I’m currently working on).

On such systems, 32-bit programs will run fine, but 64-bit programs can make more efficient use of the underlying system. Current day computers generally have 64-bit processors, and most even have 64-bit operating systems.

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