Programmers will need to 'future-proof' their code to keep up-to-date in case additional cores are added to a computing system, says Intel exec at the Multicore Expo Adding more cores is desirable to ...

Intel has acquired software company RapidMind in an effort to push development of programs that can exploit the power of Intel’s multicore processors, the company said Friday. The chip maker plans to ...

The tools help programmers analyze machines for performance execution and correctness. In addition, Intel released a new Threading Building Blocks library, version 1.1, which includes various ...

While many of us are just beginning to write parallel programs to use multicore, we can already see a crisis looming for those who use raw threads (p-threads or Windows threads) to implement ...

"Businesses face huge challenges when it comes to managing global mobile workforces, network security, mountains of complex information, and sprawling networks of communications, and computing devices ...

With the advent of multicore processors such as the Intel Core Duo, which is now commonplace in PCs, software developers must deal with a new wrinkle — getting software to be processed across multiple ...

Intel Corp. has teamed with Indian training company NIIT Ltd. to develop a global multicore processor technology training curriculum. NIIT is the only training company with which Intel is currently ...

Multicore is everywhere from mobile devices to the datacenter. Enter ParaSail, a new programming language designed by SofCheck CTO Tucker Taft. ParaSail uses a number of other tricks, some that draw ...

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 ...

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.