High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics.

Douglas Eadline wrote another great article on the current and future state of parallel programming paradigms [say that three times fast!]. Again, I agree with his overall prognosis. Parallel ...

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. "To maintain performance portability in the future, it is imperative to decouple architecture-specific ...

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...

Find the technical paper here. Published November 2022. The work “demonstrates how Enzyme optimizes hardware capacity, utilizing automatic differentiation to efficiently compute derivatives in various ...

I have a couple observations that I would to spark a discussion on programming methodology.It seems that a lot of programs we discuss are written by following an "imperative programming" paradigm ...