As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...

For more than a decade, where ever Intel went with the x86 instruction set, AMD followed. And, ever so briefly, when AMD broke ranks with its 64-bit extensions to that instruction set, Intel followed ...

In this white paper, ParaFormance explains how it provides easy access to the relevant technologies, skills and knowledge that delivers substantial performance improvements through parallel ...

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

Data locality and parallelism are critical optimization objectives for performance on modern multi-core machines. Both coarse-grain parallelism (e.g., multi-core) and fine-grain parallelism (e.g., ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Parallelism used to be the domain of supercomputers working on weather simulations or plutonium decay. It is now part of the architecture of most SoCs. But just how efficient, effective and widespread ...

If I have a computer with a 2.66GHz quad-core processor, will it run my software and games faster than my 3.2GHz single-core Pentium 4? Yes, quad-core CPUs are generally much faster than single-core ...