MPC-MPI: An MPI Implementation Reducing the Overall Memory Consumption

Message-Passing Interface (MPI) has become a standard for parallel applications in high-performance computing. Within a shared address space, MPI implementations benefit from the global memory to speed-up intra-node communications while the underlying network protocol is exploited to communicate between nodes. But, it requires the allocation of additional buffers leading to a memory-consumption overhead. This may become an issue on future clusters with reduced memory amount per core. In this article, we propose an MPI implementation upon the MPC framework called MPC-MPI reducing the overall memory footprint. We obtained up to 47% of memory gain on benchmarks and a real-world application.