Lately people have been combining MPI and OpenMP, to handle the increasing common architectures of clusters of multi-core machines. Perhaps the hardest problem in parallel computing is load balancing.

In this Let’s Talk Exascale podcast, David Bernholdt from ORNL discusses Open MPI. Bernholdt is the principal investigator for the Open MPI for Exascale project, which is focusing on the communication ...

In this episode of Let’s Talk Exascale, Pavan Balaji and Ken Raffenetti describe their efforts to help MPI, the de facto programming model for parallel computing, run as efficiently as possible on ...

High-performance computing (HPC) refers to the practice of aggregating computing resources into clusters that can analyze huge volumes of data in parallel, and process calculations at speeds far ...

The SimCenter's international reputation in the world of computing helped Chattanooga land the weeklong conference on the subject of MPI, which began Monday.

Parallel processing, an integral element of modern computing, allows for more efficiency in a wide range of applications.

MPI (Message Passing Interface): A standardised system for enabling concurrent processes to communicate within parallel computing architectures.

The MPI piece of this is the most interesting because it opens a world of possibilities into the types of applications the neuromorphic platform can tackle, especially those in the scientific ...

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.