cd /opt/g16 ln -sf g16_avx2 g16 Linux handles I/O differently than Windows. Gaussian’s algorithm relies heavily on reading/writing to disk. If you use a standard SATA SSD, your expensive CPU will spend 80% of its time waiting.
Here is your no-fluff guide to installing, optimizing, and debugging Gaussian 16 on a Linux environment (CentOS/RHEL/Ubuntu). Unlike modern software, Gaussian 16 doesn't come with a pretty ./configure script. It comes as a tarball (usually G16_AVX2.tbz ). The installation is essentially extraction and declaration . Gaussian 16 Linux
If you see avx2 , use that binary. Rename the link: cd /opt/g16 ln -sf g16_avx2 g16 Linux handles
ulimit -s unlimited ulimit -n 65536 ulimit -u unlimited Add these to your g16.sub script. If you are using ssh , you may need to edit /etc/security/limits.conf : Here is your no-fluff guide to installing, optimizing,
If you are a computational chemist, the phrase "segmentation fault" triggers a specific kind of PTSD. For years, running Gaussian on Windows was the default for many students, but ask any high-throughput researcher: Linux is the native habitat of Gaussian 16.
Whether you are setting up a local workstation (like an AMD Threadripper + 4090 build) or logging into a university HPC cluster, running G16 on Linux isn't just faster—it unlocks the full potential of the software.
This usually means your shell limits are too low. Linux has a hard limit on "Max user processes."