High-Performance Computing (HPC) is currently facing significant challenges. The hardware pressure has become increasingly difficult to manage due to the lack of parallel abstractions in applications. As a result, parallel programs must undergo drastic ...

A program or library is considered safe when it’s guaranteed that programmer error cannot cause undefined behavior. MPI, both the standard and its implementations, is not designed to be type or memory safe. The standard requires that types must match ...

The new reality of exascale computing faces many challenges in achieving optimal performance on large numbers of nodes. A key challenge is the efficient utilization of the message-passing interface (MPI), a critical component for process communication. ...

MPI tool or abstraction libraries often have the need to bind meta data information to different kinds of MPI opaque handles. Communicator, window and datatype handles allow to associate key-value pairs as a mean to store meta information. The more short-...

A major design objective of MPI is to enable support for the construction of safe parallel libraries that can be used and mixed freely in complex applications. In this respect, MPI has been extremely successful; but may nevertheless lack elementary ...

This study focuses on gaining insights into the usage of the Message-Passing Interface (MPI) in a large set of High-Performance Computing (HPC) codes by analyzing MPI function calls and their argument usage patterns. Previous work has focused on ...

Kokkos provides in-memory advanced data structures, concurrency, and algorithms to support performance portable C++ parallel programming across CPUs and GPUs. The Message Passing Interface (MPI) provides the most widely used message passing model for ...

MPI + Threads, embodied by the MPI/OpenMP hybrid programming model, is a parallel programming paradigm where threads are used for on-node shared-memory parallelization and MPI is used for multi-node distributed-memory parallelization. OpenMP provides an ...

MPI is the most widely used interface for high-performance computing (HPC) workloads. Its success lies in its embrace of libraries and ability to evolve while maintaining backward compatibility for older codes, enabling them to run on new architectures ...