The advent of homogeneous, shared memory multicore platforms is seen as both a threat and an opportunity for the software industry. Many commentators are concerned that efficiently and correctly ...

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.

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 ...

Programming for multicore systems can be complex, so an industry consortium led by Advanced Micro Devices has taken a step ahead in its goal to eliminate development challenges so applications are ...

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 ...

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.

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.