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 ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

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 ...

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 ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.