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), sequential ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

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

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 processing ...

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 ...

Ever wondered how Facebook is able to assemble personalized news feeds, in real time, for any of its billion-plus users who may log in at any given moment? Now we know, because the company has just ...

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems... I'm James Reinders and, as I've travelled around ...

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 parallelism ...