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 ...

Scalability, simpler debugging, and easier coding are essential to developing a successful parallel-programming approach.

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. This ...

The industry realizes that a new workflow paradigm is needed for parallel programming, and the XMT paradigm works. XMT will be the enabling paradigm that allows the computer industry to break the ...

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 ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

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 ...

Multicore processors have been around for many years, and today, they can be found in most devices. However, many developers are doing what they've always done: creating single-threaded programs. They ...

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 ...