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Fix broken links, use https over http, replace redirects

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Paul Romano 2021-03-05 08:02:53 -06:00
parent c4e0881d07
commit 0ef1f95978
33 changed files with 115 additions and 114 deletions
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6
docs/source/usersguide/parallel.rst
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@ -8,8 +8,8 @@ If you are running a simulation on a computer with multiple cores, multiple
sockets, or multiple nodes (i.e., a cluster), you can benefit from the fact that
OpenMC is able to use all available hardware resources if configured
correctly. OpenMC is capable of using both distributed-memory (`MPI
<http://mpi-forum.org/>`_) and shared-memory (`OpenMP
<http://www.openmp.org/>`_) parallelism. If you are on a single-socket
<https://www.mpi-forum.org/>`_) and shared-memory (`OpenMP
<https://www.openmp.org/>`_) parallelism. If you are on a single-socket
workstation or a laptop, using shared-memory parallelism is likely
sufficient. On a multi-socket node, cluster, or supercomputer, chances are you
will need to use both distributed-memory (across nodes) and shared-memory
@ -49,7 +49,7 @@ Distributed-Memory Parallelism (MPI)
MPI defines a library specification for message-passing between processes. There
are two major implementations of MPI, `OpenMPI <https://www.open-mpi.org/>`_ and
`MPICH <http://www.mpich.org/>`_. Both implementations are known to work with
`MPICH <https://www.mpich.org/>`_. Both implementations are known to work with
OpenMC; there is no obvious reason to prefer one over the other. Building OpenMC
with support for MPI requires that you have one of these implementations
installed on your system. For instructions on obtaining MPI, see