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 ...

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 ...

Multicore chip designs, large symmetrical multiprocessing (SMP) systems, and clustering can bring many processors to bear on an application. But without proper software, they're simply large ...

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

For example, an engineer may develop a real-time embedded control system at the same time as its human-machine interface. Maybe the system also has a computation-intensive task such as high-speed ...

Modern personal computing devices feature multiple cores. This is not only true for desktops, laptops, tablets and smartphones, but also for small embedded devices like the Raspberry Pi. In order to ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more difficult than sequential programming. He quickly ...

Intel Parallel Studio XE and Cluster Studio brings parallel computing tools to Linux and Microsoft Visual Studio developers. The compilers support Intel's Parallel Building Blocks and the Fortran ...

An article by that title over at GigaOM has gotten a lot of attention on the interwebs over the past couple weeks, so I hereby present you with a link to said article, plus an excerpt to keep you warm ...

Difficulties in programming the code supercomputers run on is becoming one of the biggest productivity killers of engineering and scientific discovery, according to a new survey from the Simon ...