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

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

The European Commission has anted up €3.9 million to create a set of tools and runtime frameworks that will be used to support the exascale supercomputers to be deployed across the continent in the ...

Editor's note: The authors describe how the OpenMP shared memory muliticore programming model is being adapted to the needs of embedded systems designs. Multicore embedded systems are widely used in ...

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 Universal Parallel Computing Research Center in Illinois will live stream a presentation on Case Studies in Asynchronous, Message-Driven Shared-Memory Programming on February 24, 2011 at 2:00pm ...

Memory models offer the formal frameworks that define how operations on memory are executed in environments with concurrent processes. By establishing rules for the ordering and visibility of memory ...

I've been covering various scientific programs the past few months, but sometimes it's hard to find a package that does what you need. In those cases, you need to go ahead and write your own code.

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...