In this paper, the open source multiscale flow solver dugksFoam is optimized with a newly
proposed parallelization strategy and conserved algorithm. A novel X-space parallel …

The allreduce collective operation accounts for a significant fraction of the runtime of
workloads running on distributed systems. One factor determining its performance is the …

Exascale supercomputers have renewed the exigence of improving distributed
communication, specifically MPI collectives. Previous works accelerated collectives for …

Collective communication, namely the pattern allreduce in message-passing systems, is
optimised based on measurements at the installation time of the library. The algorithms used …

AllReduce is an important and popular collective communication primitive, which has been
widely used in areas such as distributed machine learning and high performance …

Recent processor advances have made feasible HPC nodes with high core counts, capable
of hosting tens or even, hundreds of processes. Therefore, designing MPI collective …

Persistent collective communications and communicator splitting according to the underlying
hardware topology have recently been voted in the MPI standard. Persistent semantics …

Allreduce is one of the most frequently used MPI collective operations, and thus its
performance attracts much attention in the past decades. Many algorithms were developed …

Collective communications, namely the patterns allgatherv, reduce_scatter, and allreduce in
message-passing systems are optimised based on measurements at the installation time of …

Persistent collective communications have recently been voted in the MPI standard, opening
the door to many optimizations to reduce collectives cost, in particular for recurring …