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.

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

Current programming languages cannot use the full potential power of manycore chips. Keyvan Azadbakht studied the formal programming language ABS and extended the programming model and analysis ...

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 ...

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware.

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