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    HPC Compilers

    If you compile software on an expensive supercomputer, it’s a good idea to select the languages and compilers with particular care. We report on tried-and-proved tools used on SuperMUC, a supercomputer at the Leibniz Supercomputing Center in Germany.

    More Small Tools

    We look at some additional tools that you might find useful when troubleshooting HPC systems.

    Freeing the GPU

    Exploring AMD’s ambitious Radeon Open Compute Ecosystem with ROCm senior director Greg Stoner.

    Exploring AMD’s Ambitious ROCm Initiative

    AMD’s ROCm platform brings new freedom and portability to the GPU space.

    It’s the Little Things

    Several very sophisticated tools can be used to manage HPC systems, but it’s the little things that make them hum. Here are a few favorites.

    Resource Monitoring For Remote Applications

    Remora combines profiling and system monitoring to help you get to the root of application problems by revealing its use of resources.

    Multiprocessing in Python with Fortran and OpenMP

    Creating Python modules with Fortran OpenMP code makes all available cores accessible to Python functions.


    Inexpensive, small, portable, low-power clusters are fantastic for many HPC applications. One of the coolest small clusters is the ClusterHAT for Raspberry Pi.


    If you are an intensive, or even a typical, computer user, you store an amazing amount of data on your personal systems, servers, and HPC systems that you rarely touch. SquashFS is an underestimated filesystem that can address that needed, but little used, data.

    Parallel I/O for HPC

    In the last of three articles on HDF5, we explore performing parallel I/O with the use of HDF5 files.