I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...

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.

Exploiting Parallelism Intel is helping developers exploit parallelism and is working on helping them find opportunities for parallelism and debugging parallel programs.

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 ...

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.

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

What Is Parallel Programming? Before talking about parallel programming, let me explain two concepts closely related to it: synchronous and asynchronous execution modes. These modes are important ...

Computer science is approaching a crisis that some CS experts say could fuel a renaissance of ideas. Very soon, mainstream computers will need an easy-to-use parallel programming model to tap into ...

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 ...