Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

As an example of what HLS looks like, here’s an FFT which, admittedly, uses some other C functions. But it is much more intuitive — especially if you are a programmer — than similar code ...

Write program to run in parallel? Yes. Did you remember to use a Scalable Memory Allocator? No? Then read on … In my experience, making sure “memory allocation” for a program is ready for ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more - Read more from Inside HPC & AI News.

So obviously a program that produces thousands of tasks of available parallelism will scale a lot better tan one that only produces two tasks. So focus programming to tasks, not to threads.

This online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...

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 is a rather trivial example but you could have different processors each look at the same data set and compute different answers. So task parallelism is a different way of looking at things.