Writing software that can simultaneously make use of multiple processors can be hard. Yet the advent of multicore processors--four cores per chip is now common--means that more and more software needs ...

In this article we will be discussing various aspects of multicore processing, including a look at different types of multicore processors and why these devices are becoming common and popular today.

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 ...

Acknowledging the significant struggles that programmers face on the increasingly prevalent multicore chip formats, Intel Corp. Tuesday announced the availability of two software products, the Intel ...

A new evaluation of popular parallel programming languages finds that the C++ library provides the best combination of usability and performance Multicore programming is a tricky problem. Developers ...

RapidMind said it will use the funding to work on delivering its software development platform for applications running on multi-core and stream processors. Specifically, the investment will be used ...

Adding more cores is desirable to meet growing computing demands, but it could create more challenges for programmers writing code that enables applications to work effectively with multicore chips.

The Multicore Association is establishing specifications for a programming model that will reduce the complexity involved in writing software for multicore chips used in smartphones, tablets and other ...

From a distance it looks like a game of hot potato. But this version is played by hardware and software engineers, who normally don’t have much to do with each other. The hardware engineers say you ...

Over the last few years, the electronics industry has seen a varied range of exotic new multicore processor architectures, 54 at our last count. While many of the inventors of these fascinating ...

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

Adding more cores is desirable to meet growing computing demands, but it could create more challenges for programmers writing code that enables applications to work effectively with multicore chips.