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.

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.

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 ...

As multicore processing architectures grow in popularity, suppliers are rolling out solutions to help engineers program the new breed of devices. PolyCore Software is offering a new version of its ...

While today's multicore systems may have 2 to 16 cores, he said, cores will range into the hundreds within the next two to three years and reach 1,000 early in the next decade. There are three ...

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 ...

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 ...

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.