Large-scale digital transformation and omnichannel customer engagement applications require an unprecedented level of performance, including the ability to ingest and analyze data from multiple ...

Funded under the European Commission's IST programme, the POP project focused on generating an environment to allow applications designed using the OpenMP Application Program Interface (API) to ...

More databases and data stores and the applications that run atop them are moving to in-memory processing, and sometimes the memory capacity in a single big iron NUMA server isn’t enough and the ...

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Complex, computational work with huge sets of data is now common practice in fields such as genomics, economics, and astrophysics. Researchers in these and similarly data intensive fields depend on ...

The migration of AI inference from centralized data centers to edge environments is prompting updates in how parallel computing models like MPI and OpenMP are deployed. MPI remains suited to ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. This voice ...

This is the second in the series on the essentials of multiprocessor programming. This time around we are going to look at some of the normally little considered effects of having memory being shared ...