I’m running a code that constructs Fisher matrices and then inverts them to obtain the covariance matrices. The matrices end up ~16000x16000 in size.
On my laptop the call to
inv() is multi-threaded, but on the local university supercomputer it runs single-threaded on a node with 20 cores. How can I ensure it runs multi-threaded there as well? Julia was installed by downloading the binaries from
Moreover, for my application it would be great to be able to choose between a parallelized
inv() and a serial
inv(). This is because the construction of the Fisher matrix can be parallelized and contains calls to
inv(). Is it possible to choose?