This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

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 ...

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

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 ...

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.

A technical paper titled “Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster” was published by researchers at ETH Zürich and Università di Bologna. “Synchronization ...

Memory consistency models sit at the heart of concurrent programming systems, defining the set of permissible behaviours when multiple threads interact via shared memory. These models span from the ...