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

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.

In configuring next generation large scale parallel processing arrays some teams are relying on “heterogeneous processing”. Basically a fifty-cent phrase describing a microprocessor with one or more ...

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 ...

This week is the eighth annual International Workshop on OpenCL, SYCL, Vulkan, and SPIR-V, and the event is available online for the very first time in its history thanks to the coronavirus pandemic.

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the ...