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 ...

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

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.

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.

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 ...

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 ...

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 ...

Software frameworks can provide a better starting point for developing multicore applications and thus help to reduce the development time. This article demonstrates frameworks for embedded-multimedia ...

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 ...

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 ...

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.